Projects & Theses

Below you find a collection of BSc and MSc projects and theses that can be carried out within the MaP community.

ETH Zurich uses SiROP to publish and search scientific projects. For more information visit sirop.org.

Development of instrumentation and analytics for powder bed quality for additive manufacturing

The quality of powder bed-based additive manufacturing processes is heavily dependent on the uniformity and repeatability of the powder spreading process. Left undetected, deviations in the powder bed can result in defective parts, which may lead to catastrophic failures. This project is to develop instrumentation and signal processing algorithms that can detect and classify anomalies in the powder bed of a metal 3D printer based on image recognition, machine learning, and/or artificial intelligence.

Keywords

Mechanical design, instrumentation, signal processing, image processing, statistics, additive manufacturing, 3D printing, quality control, machine learning, artificial intelligence, image recognition, neural network

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2023-10-23 , Latest end: 2024-10-22

Organization Institute of Machine Tools and Manufacturing

Hosts Tucker Michael Robert

Topics Engineering and Technology

Design and fabrication of thermally tunable metallic structures

Certain design applications require structures that remain dimensionally stable despite large swings in ambient temperature. Typically, these make use of exotic materials that are highly toxic and challenging to machine. In this project, we will investigate the producibility of dimensionally stable metallic structures that are produced from conventional materials via a novel additive manufacturing (i.e. 3D printing) process.

Keywords

Mechanical engineering, materials engineering, finite element modeling, structural design and analysis, 3D printing, additive manufacturing

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Semester Project , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2022-10-05 , Latest end: 2023-10-04

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , CSEM - Centre Suisse d'Electronique et Microtechnique , Empa

Organization Institute of Machine Tools and Manufacturing

Hosts Tucker Michael Robert

Topics Engineering and Technology

Automated Design Workflow of a 3D Printed Neurostimulation Headset

Within a previous thesis, a first workflow for the automated design of a 3D printed neurostimulation headset for Altzheimer Disease treatment has been developed. This new thesis should now build on the current design workflow and make several improvements in terms of the degree of automation and the addition of new features like a new holder for the electrodes or perforations for a more lightweight design.

Keywords

Design; Programming; 3D Printing; Testing; Neurostimulation; Medical Product

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-01-21 , Latest end: 2026-01-01

Applications limited to ETH Zurich , [nothing]

Organization pd|z Product Development Group Zurich

Hosts Vögerl Johannes

Topics Engineering and Technology

Control Software Development for Advanced Laser Powder Bed Fusion Additive Manufacturing

In this project, software will be written to enable advanced multi-laser and beam shaping process control for deployment to a commercial laser powder bed fusion additive manufacturing machine.

Keywords

Mechanical engineering, electrical and control systems, software development, 3D printing, additive manufacturing

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Semester Project , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2022-10-05 , Latest end: 2023-10-04

Organization Advanced Manufacturing Laboratory

Hosts Tucker Michael Robert

Topics Engineering and Technology

Breathable hydrogel fabric electrodes for myoelectric signal detection

The goal of this project is to develop a flexible electronic system based on breathable hydrogel electrodes on everyday fabric substrates for myoelectric signal detection.

Keywords

textile, wearable, hydrogel, electrode, electromyography

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Semester Project , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-03-01 , Latest end: 2025-06-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Yang Weifeng

Topics Engineering and Technology

Development of a Fully 3D Printed EEG System

Multimaterial FDM printing offers exciting potential for directly integrating electronics into structural parts. One promising application is in EEG systems, which monitor brain activity using electrodes. The Ultracortex Mark IV by OpenBCI, for example, uses a 3D-printed frame but relies on external wiring. This thesis aims to redesign the headset to incorporate 3D-printed electronics and test its functionality, paving the way for more seamless and integrated EEG systems. Perfect for engineering students interested in cutting-edge technology and hands-on design.

Keywords

3D Printing, 3D Printed Electronics; Design; Testing

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-01-21 , Latest end: 2026-01-01

Applications limited to ETH Zurich

Organization pd|z Product Development Group Zurich

Hosts Vögerl Johannes

Topics Engineering and Technology

Mechanophores for advanced wearable strain and pressure sensors

The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors.

Keywords

mechanophore, polymer, wearable, sensor, color, strain, pressure

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Master Thesis

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Published since: 2025-01-20 , Earliest start: 2024-09-01 , Latest end: 2025-09-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Shokurov Aleksandr

Topics Engineering and Technology , Chemistry

Automated Design of 3D Printed Electrical Wires

Novel 3D printing processes directly integrate electrical cables into components, solving many challenges of traditional electrical wires like entanglement, high assembly effort, or high system weight. However, the challenge of efficiently designing these integrated wires remains. This thesis aims to automate the design process of these integrated wires enabling fast generation of the integrated electronics in various use cases. Join us in pushing the boundaries for the fast design of complex 3D printing cables.

Keywords

Design Automation, 3D Printing, 3D Printed Electronics, Wiring; Programming

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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-20 , Earliest start: 2025-01-21 , Latest end: 2026-01-01

Applications limited to ETH Zurich

Organization pd|z Product Development Group Zurich

Hosts Vögerl Johannes

Topics Engineering and Technology

Point-of-Care Sensor for Urinary Iodine

The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes.

Keywords

electrochemistry, iodine, nutrition, health, point of care

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Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-01-01 , Latest end: 2025-10-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Shokurov Aleksandr

Topics Medical and Health Sciences , Engineering and Technology , Chemistry

Open Position for part time job - MedTech Startup

Diaxxo, an innovative ETH Zürich spinoff, is transforming diagnostics with cutting-edge PCR technology that combines lab-grade accuracy with field-ready simplicity. Our mission is to enable faster, affordable, and accessible detection of viral and bacterial infections, driving impact in animal health, food safety, and human diagnostics. We are seeking a motivated student or part-time worker to join our team in Zürich, starting February 2025 (or a mutually agreed date). This role involves contributing to the assembly of devices and cartridges, lab-based tasks, and quality control. It’s an excellent opportunity to gain hands-on experience in a dynamic startup environment while supporting our mission to revolutionize diagnostics. No specific experience is required—just motivation, commitment, and adaptability.

Keywords

Diagnostics PCR Technology Innovation Start-up Biotechnology Viral Detection Quality Control Device Assembly Healthcare Startup Part-time student work

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Collaboration , Internship , Lab Practice , Student Assistant / HiWi , ETH Zurich (ETHZ)

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Published since: 2025-01-20 , Earliest start: 2025-02-01 , Latest end: 2025-08-31

Organization Functional Materials Laboratory

Hosts Gregorini Michele

Topics Medical and Health Sciences , Engineering and Technology , Chemistry

Optimization and testing on healthy participants of a smart sock with textile pressure sensors

The goal of the project is to test and optimize a smart sock prototype for plantar pressure measurements that was previously developed in the lab. The prototype will be optimized based on its ability to track pressure during everyday activities as a wearable device. Tests on healthy participants performing standard movements (e.g., walking, climbing stairs, etc) will be performed to compare the sock performance to a commercial gold standard smart insole system. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports.

Keywords

wearable technology, smart sock, plantar pressure, e-textiles, gait analysis

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Semester Project , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-01-06 , Latest end: 2025-10-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Galli Valeria

Topics Engineering and Technology

Experimental Evaluation of 3D Printed Electronics Using Multimaterial FDM Printing

While electrical wires are a key component in many engineering applications, they also pose several challenges like requiring a lot of space or a high assembly effort. Multimaterial FDM printing is one of the most promising ways of solving these challenges by directly printing electronics into structural parts. In previous projects, we have already set up the basis for the experimental evaluation of conductive filaments for 3d printing of electronics. The goal of this thesis is now to build upon these foundations to experimentally evaluate the process parameters and properties of various filaments to facilitate the use of 3d printing of electronics for new engineering projects.

Keywords

3D Printing, 3D Printed Electronics; Experiments; Testing

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-20 , Earliest start: 2025-01-21 , Latest end: 2026-01-01

Applications limited to ETH Zurich

Organization pd|z Product Development Group Zurich

Hosts Vögerl Johannes

Topics Engineering and Technology

Shaping Microrobots from Ferrofluid Droplets

We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.

Keywords

Microrobotics, Microfabrication, Magnetic Assembly, Fluid dynamics

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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)

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Published since: 2025-01-18 , Earliest start: 2025-03-03

Organization Multiscale Robotics Lab

Hosts Hu Minghan

Topics Engineering and Technology , Chemistry

Developing Multi-Functional Microrobots Using Microfluidic Chips (3M project)

We are looking for a motivated Master’s student to join an exciting interdisciplinary thesis project, collaborating between the Multi-Scale Robotics Lab (D-MAVT) and the deMello group (D-CHAB) at ETH Zurich. This project focuses on creating a novel microfluidic-based bottom-up method to fabricate multifunctional microrobots. This innovative approach seeks to revolutionize microrobot fabrication, opening the door to diverse new applications.

Keywords

Microfluidics, Self-assembly, Microrobots

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-18 , Earliest start: 2025-02-17

Organization Multiscale Robotics Lab

Hosts Hu Minghan

Topics Engineering and Technology , Chemistry

Autonomous Wheeled Robots for Concrete Structures

This project focuses on developing an autonomous wheeled robotic system for detecting corrosion on reinforced concrete structures, such as bridges and parking garages. Using the ROSMASTER X3 robot, the system will integrate SLAM for mapping and waypoint navigation, enabling systematic environmental inspection. Sensors such as LiDAR and depth cameras will be calibrated and mounted for mapping and data collection, while corrosion detection sensors will gather measurements at predefined waypoints. The project aims to refine the system through iterative testing and demonstrate its effectiveness in real-world scenarios.

Keywords

Robotics, Inspection, Corrosion, Reinforced concrete

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Internship

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Published since: 2025-01-17 , Earliest start: 2025-01-19 , Latest end: 2025-08-01

Applications limited to ETH Zurich , [nothing]

Organization Durability of Engineering Materials (Prof. Angst)

Hosts Pfändler Patrick

Topics Engineering and Technology

Lumios: Engineering high-throughput muscle tissues for drug development research

In the tissue engineering & biofabrication lab, we have developed a new bioprinting technology that enables the production of highly anisotropic, microstructured hydrogels and facilitates the cultivation of aligned tissues such as skeletal muscle or nerves. On this basis, we are currently working towards establishing the ETH Spin-off Lumios. In a previous proof-of-concept study, we were able to show that embedding myoblasts into these scaffolds, 14 days later, led to the formation of functional mini-muscles that showed similar contractile and biochemical properties as we see in native muscle tissues. Based on these promising results, we now want to integrate these tissues into a platform that enables their culture and characterization in a multi-well plate format and makes them accessible to drug development research for muscle-related diseases like myocardial infarction necrosis, sarcopenia or Duchenne muscular dystrophy.

Keywords

Keywords: Bioprinting, Tissue engineering, Materials science, Cell culture, Entrepreneurship

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Semester Project , Master Thesis

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Published since: 2025-01-17

Organization Zenobi-Wong Group / Tissue Engineering and Biofabrication

Hosts Weber Patrick

Topics Engineering and Technology

Photoresponsive slide-ring hydrogels for on-demand modulation of mechanical properties

Hydrogel materials are crosslinked polymer networks with reversible swelling, tunable porosity, elasticity, toughness, and flexibility. Conventional hydrogels often suffer from weak mechanical properties and display brittle and unstable behaviour limiting their scope for load-bearing applications. Such networks consist of side-chain functionalized polymers, whose covalent crosslinks occur at fixed positions on the polymer backbone (Figure 1A). Upon deformation, tensile stress is concentrated on the closest neighboring crosslinks, eventually leading to their rupture and material failure. Hence, the molecular design of high-performance hydrogels with toughness and elasticity similar to rubber is an emerging area of research in the engineering of polymeric materials with applications towards robust medical materials or soft robotics.

Keywords

Slide-Ring Gels, Supramolecular Chemistry, High-Performance Hydrogels

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Master Thesis

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Published since: 2025-01-16 , Earliest start: 2024-07-18

Organization Macromolecular Engineering Laboratory

Hosts Mommer Stefan

Topics Engineering and Technology , Chemistry

Design of a Compliant Mechanism for Human-Robot Collaborative Transportation with Non-Holonomic Robots

Human-robot collaboration is an attractive option in many industries for transporting long and heavy items with a single operator. In this project, we aim to enable HRC transportation with a non-holonomic robotic base platform by designing a compliant manipulation mechanism, inspired by systems like the Omnid Mocobots.

Keywords

Human-robot collaboration Collaborative transportation Non-holonomic robot Mobile manipulation

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-16 , Earliest start: 2024-07-08

Applications limited to ETH Zurich

Organization Robotic Systems Lab

Hosts Kindle Julien , Bray Francesca

Topics Information, Computing and Communication Sciences , Engineering and Technology

Conductive polymer pattern deposition for smart textile applications

The goal of the project is to develop a simple and versatile method for production of robust conductive patterns on textile via deposition of conductive polymers. This technology will allow further development of wearable electronics for biomedical applications.

Keywords

wearable, smart textile, conducting polymer, polymerization, capacitance, conductivity

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Bachelor Thesis , Master Thesis

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Published since: 2025-01-15 , Earliest start: 2024-08-01 , Latest end: 2025-08-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Shokurov Aleksandr

Topics Medical and Health Sciences , Engineering and Technology , Chemistry

Development of a Sustainability Analysis Algorithm for Plastic Products

Sustainabilitymustbeconsideredintheearlydevelopmentstagesofaproducttohaveasignificantimpactonitssustainabilitythroughoutitslifecycle.However,productdesignersoftenlacktheexpertiseandtoolstoincorporatesustainabilityconsiderationsintotheirdesigndecisions.Thisprojectaimstoenabledesignerstomakemoreinformeddecisionsbydevelopingasustainabilityanalysistoolfortheearlyproductdevelopmentstages.Thetool'sprimaryfunctionistoanalyzeandcomparedifferentmaterialandmanufacturingprocesscombinationsandproposeanoptimalcombinationforagivenplasticproduct.

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-14 , Earliest start: 2025-02-01

Applications limited to ETH Zurich

Organization pd|z Product Development Group Zurich

Hosts Wolf Philip

Topics Engineering and Technology

Combining Melt electrowritten tubular scaffolds with gels towards a vascular graft

In this project we would like to further explore if we can use our established Melt electrowritten tubular scaffolds and combine them with gels toward the application for vascular grafts. Melt electrowritten scaffolds allow us to finely control the wall geometry, which leads to controlled mechanical properties as well as porosity. However there are some limitations with this technology. This is where the addition of gels in the scaffold wall could benefit with porosity control, leackage as well as possible cell growth benefits. Therefore we would like to investigate which gel would be viable for the application of a vascular graft based on mechanical and biological needs. We would find possible solutions to combine MEW scaffolds with gels and practically try different methods. Once a protocol(s) are established we would perform quantitative and mechanical characterisation and compare it to MEW only scaffolds as well as native tissues.

Keywords

Melt electrowriting, Electrospinning, vascular grafts, scaffold production, mechanical tests, additive manufacturing, gels, hydrogels

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-13 , Earliest start: 2025-01-12 , Latest end: 2025-10-31

Organization Tissue Mechanobiology

Hosts Pizorn Jaka

Topics Engineering and Technology

Investigating Cell Behavior in Response to Hydrostatic Pressure and Substrate Stiffness Using a PDMS-Based Bioreactor

Introduction and Background Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. Mechanobiology, the study of these responses, requires advanced in vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior.

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Master Thesis

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Published since: 2025-01-10 , Earliest start: 2025-02-01 , Latest end: 2025-08-31

Organization Macromolecular Engineering Laboratory

Hosts Binz Jonas , Cuni Filippo

Topics Engineering and Technology , Biology

Master thesis project - Biomechanical relationships between spinal loads and kinematic parameters in patients with lumbar spinal stenosis during walking

Lumbar spinal stenosis (LSS) is a condition characterized by the narrowing of the lumbar spinal canal, resulting in compression of the nerve roots or cauda equina. Patients with LSS often exhibit altered spinal kinematics and compensatory movement patterns, which can increase paraspinal muscle activity and segmental loads. This study aims to estimate the spinal loads in LSS patients using an advanced full-body musculoskeletal model within the AnyBody Modeling System, incorporating patient-specific motion-capture data. Gaining a deeper understanding of the differences in spinal kinematics between LSS patients and healthy individuals, and their effects on spinal loading, could inform more effective treatment and rehabilitation strategies.

Keywords

Spine biomechanics, musculoskeletal multi-body modeling, inverse dynamics simulation, motion capture, computational study, gait

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Master Thesis

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Published since: 2025-01-10 , Earliest start: 2024-12-01 , Latest end: 2025-06-30

Organization Musculoskeletal Biomechanics

Hosts Caimi Alice

Topics Engineering and Technology

Characterising mechanical properties of tubular scaffolds for artificial blood vessels manufactured by melt electrowriting

While we have performed some basic mechanical tests to characterize Melt electrowritten tubular scaffolds, we would like to add other mechanical tests, based on ASTM standards, that would further allow us to have a better insight into mechanical properties of MEW scaffolds as well as to compare them to other vascular grafts as well as native tissues. Therefore we are searching for a motivated student who can see themself performing practical work producing tubular scaffolds as well as implementing mechanical tests.

Keywords

Melt electrowriting, Electrospinning, vascular grafts, scaffold production, mechanical tests, additive manufacturing

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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-10 , Earliest start: 2025-01-12 , Latest end: 2025-08-31

Organization Tissue Mechanobiology

Hosts Pizorn Jaka

Topics Engineering and Technology

Advanced Co-Design Framework for Legged Robots

This project seeks to advance the field of legged robotics by creating a versatile and accessible co-design framework that integrates mechanical design and control optimization.

Keywords

co-design, optimization, legged robotics, optimal control, reinforcement learning, mechanical design

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Semester Project , Master Thesis

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Published since: 2025-01-09 , Earliest start: 2024-08-03

Organization Computational robotics laboratory (Prof. Stelian Coros)

Hosts Fadini Gabriele

Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology

CFD Simulations and Experimental Analysis of Bubble Nucleation and Growth in Foam Additive Manufacturing (FAM)

Foam Additive Manufacturing (FAM) integrates 3D printing with physical blowing agents (PBAs) to produce lightweight, porous structures. The extrusion process, which involves a polymer-PBA solution, is critical for foam formation [1]. Bubble nucleation and growth occur due to rapid pressure drops and temperature changes within the extruder nozzle.

Keywords

Printing, FDM, Foams, plastics, Additive Manufacturing, AM

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-09 , Earliest start: 2025-01-09 , Latest end: 2026-01-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Information, Computing and Communication Sciences , Engineering and Technology , Chemistry , Biology

Perceptive Arm Motion Planning and Control for Heavy Construction Machine Tasks

In this work we would utilize reinforcement learning, neural network actuator modeling, and perception for the control and arm motion planning of a 40ton excavator with a free-swinging gripper. The project will be in collaboration with Gravis Robotics, ETH spinoff working on the automation of heavy machinery.

Keywords

reinforcement learning, perception, hydraulics, excavator, manipulation, industry

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Semester Project , Collaboration , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-08 , Earliest start: 2025-02-03 , Latest end: 2025-08-31

Organization Robotic Systems Lab

Hosts Egli Pascal Arturo , Nan Fang , Spinelli Filippo

Topics Information, Computing and Communication Sciences , Engineering and Technology

Nanometric Thin Films for Brain Stimulation Implants

This project aims to fabricate and characterize thin films of ceramic oxides (with thickness in the nanometer range) which have potential applications in biomedical devices, such as implanted flexible electronics (Fig. a) and functional microrobots (Fig. b).

Keywords

Materials science, Thin films, Brain Implants, Microrobots

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-08 , Earliest start: 2025-01-19 , Latest end: 2026-12-31

Organization Multiscale Robotics Lab

Hosts Mirjolet Mathieu

Topics Engineering and Technology , Physics

Boosting Reinforcement Learning with High-Speed Gaussian Splatting

This project addresses the computational bottlenecks in model-free reinforcement learning (RL) with high-dimensional image inputs by optimizing Gaussian Splatting—a GPU-accelerated technique for photorealistic image generation from point clouds—for RL applications. By integrating pre-sorting methods, the project aims to enhance rendering speeds, enabling broader RL applications beyond geometric constraints or abstraction layers. Building on previous work involving risk annotations in Gaussian splats, the project seeks to develop generalizable RL policies that leverage real-world knowledge.

Keywords

Gaussian Splatting, Navigation, Reinforcement Learning

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Semester Project , Master Thesis

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Published since: 2025-01-08

Organization Robotic Systems Lab

Hosts Roth Pascal , Wilder-Smith Max

Topics Information, Computing and Communication Sciences

How to Touch: Exploring Tactile Representations for Reinforcement Learning

Developing and benchmarking tactile representations for dexterous manipulation tasks using reinforcement learning.

Keywords

Reinforcement Learning, Dexterous Manipulation, Tactile Sensing

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-01-08 , Earliest start: 2024-12-15 , Latest end: 2025-06-01

Applications limited to ETH Zurich

Organization Robotic Systems Lab

Hosts Bhardwaj Arjun , Zurbrügg René

Topics Information, Computing and Communication Sciences

Ex vivo evaulation of wound healing using granular biomaterials

Chronic wound care is hindered by the complex and variable proteomic profiles of wound exudates, which limit the efficacy of existing therapies. We aim to validate the effectiveness of our granular hydrogel platform in restoring balance to the wound microenvironment. Utilizing exudates obtained from diabetic foot ulcer (DFU) patients, we will optimize our microgel library to target clinically relevant cytokine profiles.

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Internship , Master Thesis

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Published since: 2025-01-07 , Earliest start: 2025-03-01 , Latest end: 2025-12-31

Organization Macromolecular Engineering Laboratory

Hosts Emiroglu Börte

Topics Medical and Health Sciences , Biology

Scalable manufacturing of granular biomaterials for wound healing

The development of biomaterials for chronic wound healing faces significant challenges in achieving shelf-stability, transportability, and compliance with clinical manufacturing standards. To address these hurdles, we aim to integrate a freeze-drying (lyophilization) step into the preparation of our granular hydrogels, facilitating storage and transport without compromising functionality. By validating the post-rehydration performance of lyophilized microgels, we aim to ensure the robustness of our product for clinical use.

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Internship , Master Thesis

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Published since: 2025-01-07 , Earliest start: 2025-04-01 , Latest end: 2025-12-31

Organization Macromolecular Engineering Laboratory

Hosts Emiroglu Börte

Topics Medical and Health Sciences , Chemistry , Biology

Development of a Giant Humanoid Robotic Hand

Development of a Giant Humanoid Robotic Hand for the rapid deployment and handling of equipment in flooding and earthquake disaster scenarios

Keywords

Soft Robotics, Humanoid Robotic Hand, Tendon driven, Dexterous manipulator, Rolling contact joints

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Semester Project , Master Thesis

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Published since: 2025-01-06 , Earliest start: 2025-01-06 , Latest end: 2025-08-31

Organization Soft Robotics Lab

Hosts Hinchet Ronan , Katzschmann Robert, Prof. Dr.

Topics Engineering and Technology

Development of sensor networks integrated on scaly artificial robotic skins

Development of a multi-sensory network integrated on artificial scales serving as soft robotic skin for robotic limbs

Keywords

Soft Robotics, robotic skin, sensor network, artificial scale, sensory scales

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Semester Project , Master Thesis

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Published since: 2025-01-06 , Earliest start: 2025-01-06 , Latest end: 2025-08-31

Organization Soft Robotics Lab

Hosts Hinchet Ronan , Katzschmann Robert, Prof. Dr.

Topics Engineering and Technology

Assembly Assistant: Crafting your robotic companion for teamwork

This project is inspired by the vision of seamless human-robot collaboration in household settings. As our homes become smarter, the need for robotic systems that can work alongside humans to perform tasks with precision and adaptability is growing. This project empowers individuals to design and build a robotic companion tailored to assist with household tasks like assembling furniture. By fostering teamwork between humans and robots, the project highlights how technology can enhance everyday life, promoting efficiency, creativity, and a shared sense of accomplishment. It envisions a future where robots are not just tools but collaborative partners, making home life easier, more productive, and more enjoyable for everyone.

Keywords

human-robot collaboration, egocentric vision, dexterous manipulation

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Semester Project , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-01-06 , Earliest start: 2025-01-13

Organization Computer Vision and Geometry Group

Hosts Wang Xi , Gavryushin Alexey , Yang Chenyu

Topics Information, Computing and Communication Sciences

Enhancing performance of electrostatic rotational motors for the next generation of robotic actuators

This project aims to enhance an electrostatic actuator by improving its specific power and power density while optimizing its manufacturing process, through approaches such as mechanical redesign, materials innovation, or computational optimization.

Keywords

soft robotics, electrostatic motors, electrostatic actuators, mechanical design

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Master Thesis

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Published since: 2025-01-05 , Earliest start: 2025-01-06 , Latest end: 2025-09-01

Organization Soft Robotics Lab

Hosts Katzschmann Robert, Prof. Dr. , Toshimitsu Yasunori , Kazemipour Amirhossein

Topics Engineering and Technology

Unraveling Calcium Dynamics and Immune Interactions in Bone Graft Substitute Environments through Advanced Ratiometric Imaging

This project endeavors to explore the dynamic interplay among calcium ions, bone graft substitutes, and resident immune cells in both orthotopic and ectopic environments, employing advanced ratiometric imaging techniques.

Keywords

Bone Graft Substitute, Calcium, Ratiometric Imaging, Immune Cells, in vitro, in vivo, Intravital Microscopy

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-24 , Earliest start: 2024-10-01 , Latest end: 2025-06-30

Organization Müller Group / Laboratory for Bone Biomechanics

Hosts Wissmann Stefanie

Topics Engineering and Technology , Biology

Development of RL-enabled pipeline for Humanoid Robot Locomotion

The development of humanoid robots capable of efficient and dynamic locomotion has been a long-standing challenge in robotics. Achieving this requires integrating advanced hardware systems with intelligent control algorithms that can adapt to complex and dynamic environments. Reinforcement Learning (RL) has emerged as a powerful tool in this domain, enabling robots to learn locomotion over challenging terrains and showing human like motions. The goal of this project is to design and develop a pipeline for deploying RL policies on the pndbotics humanoid robot.

Keywords

Robotics, Legged Robot, Locomotion, RL, Hardware

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Semester Project , Master Thesis

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Published since: 2024-12-21 , Earliest start: 2025-01-15 , Latest end: 2025-09-30

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Computational robotics laboratory (Prof. Stelian Coros)

Hosts Zargarbashi Fatemeh

Topics Information, Computing and Communication Sciences , Engineering and Technology

Motion Imitation and Control for Humanoid Robot using Diffusion

To achieve effective and natural interaction, humanoid robots may need to closely imitate human motion, which encompasses walking, object manipulation, and environmental interactions. Motion capture data, which captures human motion with high precision, serves as an excellent resource for training robotic systems to replicate human movements. Diffusion models are a class of generative models designed to handle multi-modal distributions, making them highly suitable for complex motion generation tasks. Recent state-of-the-art methods use diffusion to produce human like motions for character animation or to imitate human expert data for controlling robotic arms. The goal of this project is to explore diffusion approaches for imitating motion data from humans to obtain control policies for humanoid robots.

Keywords

RL, Imitation Learning, Robotics, Diffusion

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Master Thesis

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Published since: 2024-12-21 , Earliest start: 2025-01-15 , Latest end: 2025-09-30

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Computational robotics laboratory (Prof. Stelian Coros)

Hosts Zargarbashi Fatemeh

Topics Information, Computing and Communication Sciences , Engineering and Technology

Software Development Internship: Enabling In Vitro Neuroscience Research

This 6-month internship focuses on developing software for advanced neural interfaces used in in vitro studies. These interfaces enable precise exploration of neural activity, providing critical insights into neuronal dynamics, drug interactions, and neurological disorders. The project involves creating and optimizing software for data acquisition, analysis, and visualization, which directly enhances the usability and impact of these tools in research and healthcare applications. Ideal candidates will possess strong programming skills in Python, with a preference for knowledge also of C++ and Cython, and excellent documentation practices. This project is also available as Master thesis or semester project.

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Internship; Software development; Neural Interfaces; Neuroscience; Python; C++; Cython; Biomedical Research; Neuroengineering; Neurotechnology.

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Semester Project , Internship , Master Thesis

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Published since: 2024-12-21 , Earliest start: 2024-12-01

Organization Bio Engineering Laboratory

Hosts Cardes Fernando

Topics Information, Computing and Communication Sciences

Development of a Heterocellular Human Bone Organoid for Precision Medicine and Treatment

Our goal is to establish a heterocellular 3D printed bone organoid model comprising all major bone cell types (osteoblasts, osteocytes, osteoclasts) to recapitulate bone remodeling units in an in vitro system. The organoids will be produced with the human cells, as they could represent human pathophysiology better than animal models, and eventually could replace them. These in vitro models could be used in the advancement of next-generation personalised treatment strategies. Our tools are different kinds of 3D bioprinting platforms, bio-ink formulations, hydrogels, mol-bioassays, and time-lapsed image processing of micro-CT scans.

Keywords

3D printing, bone organoids, co-culture, bioreactor, hydrogels, drug testing

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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-19 , Earliest start: 2022-08-01 , Latest end: 2025-11-30

Organization Müller Group / Laboratory for Bone Biomechanics

Hosts Steffi Chris

Topics Engineering and Technology , Biology

Imitation Learning for Pedipulation

This project aims to enable our quadrupedal robot, ANYmal, to perform manipulation tasks with its foot. Particularly, we want to use imitation learning to learn high-level motion plans that can solve real-world tasks such as opening doors, pushing objects, and transporting payloads. This approach will allow solving simple manipulation tasks autonomously.

Keywords

legged robots, imitation learning, manipulation, pedipulation

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Published since: 2024-12-19 , Earliest start: 2025-02-01 , Latest end: 2025-08-31

Organization Robotic Systems Lab

Hosts Arm Philip

Topics Information, Computing and Communication Sciences , Engineering and Technology

Generative Adversarial Networks for Autonomous Tool Wear Assessment

Tool wear has a significant impact on the productivity of machining processes. Currently, tools are replaced based on an estimate of their remaining life, often with significant safety margins that lead to inefficiency. Developments are underway to measure wear automatically by image segmentation of microscope images. Increasing the size of the training data set has a positive effect on the performance and robustness of deep learning systems. However, when it comes to tool wear, datasets are not openly available and are expensive and time consuming to create. This thesis builds on an existing segmentation pipeline and dataset of labeled war images. The goal is to leverage advanced deep learning techniques, such as Generative Adversarial Networks (GANs) to create an improved, data-efficient pipeline. You will work towards a system that can classify and quantify different types of wear for objective tool condition monitoring.

Keywords

Computer Vision, Machine Learning, Tool Wear, Manufacturing Automation

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-18 , Earliest start: 2025-01-06 , Latest end: 2025-12-31

Organization Computational Modelling of Materials in Manufacturing

Hosts Zwicker Ruben

Topics Information, Computing and Communication Sciences , Engineering and Technology

BEV meets Semantic traversability

Enable Birds-Eye-View perception on autonomous mobile robots for human-like navigation.

Keywords

Semantic Traversability, Birds-Eye-View, Localization, SLAM, Object Detection

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-18 , Earliest start: 2025-01-15 , Latest end: 2025-10-31

Organization Robotic Systems Lab

Hosts Gawel Abel

Topics Information, Computing and Communication Sciences , Engineering and Technology

Scene graphs for robot navigation and reasoning

Elevate semantic scene graphs to a new level and perform semantically-guided navigation and interaction with real robots at The AI Institute.

Keywords

Scene graphs, SLAM, Navigation, Spacial Reasoning, 3D reconstruction, Semantics

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-18 , Earliest start: 2025-01-15 , Latest end: 2025-10-31

Organization Robotic Systems Lab

Hosts Gawel Abel

Topics Information, Computing and Communication Sciences , Engineering and Technology

Global robot localization in mesh models

This project includes designing and implementing a particle filter for global robot localization in the environments represented by a mesh model. Particular interest lies in the applicability of such a technique for construction sites, which are considered highly dynamic and, hence, challenging for robot localization.

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* Global robot localization * Diffusion models * Particle Filter

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Published since: 2024-12-17 , Earliest start: 2024-12-18

Organization Robotic Systems Lab

Hosts Vysotska Olga , Talbot William

Topics Engineering and Technology

Development of Neuromuscular Biohybrid Robots

Biohybrid robots integrate living cells and synthetic components to achieve motion. These systems often rely on engineered skeletal muscle tissues that contract upon electrical stimulation for actuation. Neuromuscular-powered biohybrid robots take this concept further by integrating motor neurons to induce muscle contractions, mimicking natural muscle actuation. In our lab, we are developing neuromuscular actuators using advanced 3D co-culture systems and biofabrication techniques to enable functional macro-scale biohybrid robots.

Keywords

Tissue engineering, mechanical engineering, biology, neuroengineering, biomaterials, biohybrid robotics, 3D in vitro models, biofabrication, bioprinting, volumetric printing.

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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-17 , Earliest start: 2025-01-15

Organization Soft Robotics Lab

Hosts Katzschmann Robert, Prof. Dr.

Topics Engineering and Technology , Biology

Graph-based robot localization in BIM models

This project focuses on implementing and deploying a graph-based localization framework that allows to position a robot within BIM (Building information Models).

Keywords

Graph-based robot localization BIM models

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Semester Project , Bachelor Thesis

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Published since: 2024-12-17 , Earliest start: 2024-12-18

Organization Robotic Systems Lab

Hosts Vysotska Olga , Talbot William

Topics Engineering and Technology

Digital Twin for Spot's Home

MOTIVATION ⇾ Creating a digital twin of the robot's environment is crucial for several reasons: 1. Simulate Different Robots: Test various robots in a virtual environment, saving time and resources. 2. Accurate Evaluation: Precisely assess robot interactions and performance. 3. Enhanced Flexibility: Easily modify scenarios to develop robust systems. 4. Cost Efficiency: Reduce costs by identifying issues in virtual simulations. 5. Scalability: Replicate multiple environments for comprehensive testing. PROPOSAL We propose to create a digital twin of our Semantic environment, designed in your preferred graphics Platform to be able to simulate Reinforcement Learning agents in the digital environment, to create a unified evaluation platform for robotic tasks.

Keywords

Digital Twin, Robotics

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Published since: 2024-12-17 , Earliest start: 2025-01-05

Applications limited to University of Zurich , ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Computer Vision and Geometry Group

Hosts Blum Hermann , Portela Tifanny , Bauer Zuria, Dr. , Trisovic Jelena

Topics Information, Computing and Communication Sciences

KALLAX Benchmark: Evaluating Household Tasks

Motivation ⇾ There are three ways to evaluate robots for pick-and-place tasks at home: 1. Simulation setups: High reproducibility but hard to simulate real-world complexities and perception noise. 2. Competitions: Good for comparing overall systems but require significant effort and can't be done frequently. 3. Custom lab setups: Common but lead to overfitting and lack comparability between labs. Proposal ⇾ We propose using IKEA furniture to create standardized, randomized setups that researchers can easily replicate. E.g, a 4x4 KALLAX unit with varying door knobs and drawer positions, generating tasks like "move the cup from the upper right shelf into the black drawer." This prevents overfitting and allows for consistent evaluation across different labs.

Keywords

Benchmakr, Robotics, pick-and-place

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Semester Project , Master Thesis

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Published since: 2024-12-17 , Earliest start: 2025-01-06

Applications limited to University of Zurich , ETH Zurich , Swiss National Science Foundation , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Computer Vision and Geometry Group

Hosts Blum Hermann , Bauer Zuria, Dr. , Zurbrügg René

Topics Information, Computing and Communication Sciences

Quantifying the impact of network conditions on telesurgery performance and reliability

In this thesis, our goal is to quantify the impact of various network conditions (e.g., latency, congestion, packet loss) on the performance of stroke treatment via telesurgery. At ETH, we have established a real testbed equipped with agent controllers and robotic instruments, and the student’s role will be to simulate the network environment connecting these devices.

Keywords

Surgical robotics, network emulation, test setup design, user study

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Master Thesis

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Published since: 2024-12-17 , Earliest start: 2025-02-01 , Latest end: 2025-12-31

Organization Multiscale Robotics Lab

Hosts Heemeyer Florian

Topics Information, Computing and Communication Sciences , Engineering and Technology

Activity and fatigue detection using machine learning based on real-world data from smart clothing

The aim of this project is to use machine learning methods to extract useful information such as activity type and fatigue level from real-world data acquired from our textile-based wearable technology during sport activities.

Keywords

smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, fatigue, machine learning, artificial intelligence, computer science

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Published since: 2024-12-16 , Earliest start: 2023-09-15 , Latest end: 2024-05-31

Organization Biomedical and Mobile Health Technology Lab

Hosts Ahmadizadeh Chakaveh

Topics Information, Computing and Communication Sciences , Engineering and Technology

Develop software for wearable technologies

The aim of this project is to develop mobile software to communicate with our already developed textile-based wearable technology and process sensor data for movement monitoring.

Keywords

smart clothing, wearable technology, software development, fitness tracking, sports medicine, mobile application, computer science

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Semester Project , Bachelor Thesis

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Published since: 2024-12-16 , Earliest start: 2024-07-22 , Latest end: 2025-08-31

Organization Biomedical and Mobile Health Technology Lab

Hosts Ahmadizadeh Chakaveh

Topics Information, Computing and Communication Sciences , Engineering and Technology

Ultrasound-driven dynamics of confined microbubbles in capillary-scale hydrogel microchannel networks

Coated microbubbles are commercially available and clinically approved ultrasound contrast agents used in ultrasound imaging to enhance imaging contrast when injected systemically, thereby improving diagnostic capabilities. Recently, microbubbles have been proposed as therapeutic agents for targeted drug delivery. In order to reliably characterise these agents, suitable in vitro phantoms that mimic the mechanical properties of vascular networks are required to study the dynamics of microbubbles in a confined environment.

Keywords

Microbubble, bubble dynamics, microchannels, hydrogels

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Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-16 , Earliest start: 2025-03-02 , Latest end: 2025-09-01

Applications limited to ETH Zurich

Organization Group Supponen

Hosts Guerriero Giulia

Topics Engineering and Technology

Design and development of a diffusion cell for sonophoresis treatment

Sonophoresis is the physical method of using low frequency ultrasound to increase skin permeability for transdermal drug delivery. Although acoustic cavitation in the coupling medium placed on the skin for ultrasound transmission has been identified as the primary mechanical effect responsible for the increase in skin permeability after low frequency ultrasound treatment, the complex interplay between physical and biological processes is still unclear. Franz diffusion cells are a commercially available platform for performing in vitro skin permeation and drug release studies. They consist of two compartments, the donor and the receptor. The receptor compartment contains the dissolution medium, and the donor part contains the drug formulation. The skin model is placed between the receptor and donor compartment and acts as a barrier. The application of low frequency ultrasound in the donor compartment of the Franz diffusion cell is limited by the size of the donor compartment itself, but more importantly its geometry does not allow lateral optical access to the skin surface to study cavitation bubble dynamics using high speed imaging, limiting the study of cavitation bubble-tissue interactions.

Keywords

Sonophoresis, diffusion cell, drug delivery, cavitation

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Bachelor Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-16 , Earliest start: 2025-03-02 , Latest end: 2025-06-30

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Organization Group Supponen

Hosts Guerriero Giulia

Topics Engineering and Technology

Theoretical and numerical modeling of High-Intensity Focused Ultrasound (HIFU) transducers

High-Intensity Focused Ultrasound (HIFU) transducers are widely used in ultrasound-based therapies such as targeted drug delivery, lithotripsy and histotripsy. Predicting the pressure field generated by their interaction with obstacles is of paramount importance both for research and applications. A numerical approach can be adopted to create a model that can be used as an acoustic source in subsequent calculations.

Keywords

Acoustics, HIFU transducers, numerical simulation, pressure measurements

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Published since: 2024-12-16 , Earliest start: 2025-02-01 , Latest end: 2025-06-30

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Organization Group Supponen

Hosts Fiorini Samuele

Topics Mathematical Sciences , Engineering and Technology , Physics

Modeling cavitation bubble dynamics inside a droplet influenced by acoustic driving

Cavitation bubble dynamics confined within droplets is a crucial aspect to evaluate their applicability in several biomedical applications. The goal of this project involves adapting an existing boundary integral method (BIM) interface to simulate the dynamics of an acoustically-activated bubble confined in a droplet.

Keywords

Bubble dynamics, Boundary Integral Method, Acoustic activation

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Published since: 2024-12-13 , Earliest start: 2025-02-03 , Latest end: 2025-06-30

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Organization Group Supponen

Hosts Anunay Anunay

Topics Engineering and Technology

Improvements of the Detection Block of a Rapid PCR diagnostic device in a medtech startup

diaxxo, a start-up from ETH Zürich, is transforming molecular diagnostics with an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. This project aims to enhance the detection module of Diaxxo's Point-of-Care Polymerase Chain Reaction (PCR) system by improving light uniformity to ensure precise and reliable optical detection. The redesigned detection block will be compatible with Diaxxo's existing cartridges and support multiplexing with up to three distinct light channels. High light uniformity across the cartridge will be a key focus to enhance detection accuracy and reliability. Additionally, the project emphasizes cost-effective design, leveraging affordable materials and methods to maintain performance without increasing production costs.

Keywords

Optical Detection Fluorescence-Based Methods Light Uniformity Fiber Optics Multiplexing PCR Diagnostics Thermocycling Cost-Effective Design Point-of-Care Systems Molecular Diagnostics

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Published since: 2024-12-13 , Earliest start: 2025-01-01 , Latest end: 2025-09-01

Organization Functional Materials Laboratory

Hosts Gregorini Michele

Topics Medical and Health Sciences , Engineering and Technology , Physics

Dynamic Feed Rate Adjustment for Recoating Overflow Based on CLI File Data

In powder bed-based additive manufacturing, the feed rate during recoating determines the amount of powder distributed to maintain a uniform layer across the build platform. An optimal feed rate ensures a consistent powder bed while minimizing material waste and ensuring process stability. Traditional approaches often use a static feed rate, which may lead to inconsistencies in layer thickness or material overflow, especially for geometries with complex scanning patterns or varying powder requirements.

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Published since: 2024-12-13 , Earliest start: 2025-01-01 , Latest end: 2025-12-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Information, Computing and Communication Sciences , Engineering and Technology , Physics

Prediction of the acoustic field generated by a single oscillating bubble

Ultrasonically driven microbubbles can produce cyclic jets driven by interfacial instabilities that can result in cellular drug uptake in targeted drug delivery. In this project, the student will develop a model to predict the acoustic signals produced by these jets.

Keywords

Acoustics, bubbles, finite element methods

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Published since: 2024-12-13 , Earliest start: 2025-02-01 , Latest end: 2025-12-31

Organization Group Supponen

Hosts Supponen Outi

Topics Engineering and Technology

Advanced Topological Design for Vibration Dampening in Cryogenic TEM Systems Using Lattice Structures and Additive Manufacturing

Cryogenic transmission electron microscopy (Cryo- TEM) requires precise control of vibration dampening to maintain imaging quality, particularly in the 20-50 Hz frequency range. Conventional vibration dampening approaches often struggle with achieving the required precision and adaptability for such specialized equipment. This project focuses on the topological optimization of vibration dampening components using lattice structures, advanced CAD tools (e.g., Fusion360), and AI-based design methodologies, validated through Laser Powder Bed Fusion (L-PBF) manufacturing.

Keywords

Cryo-TEM, Topological optimisation, AM, L-PBF, Design, Dampening, Vibration

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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-13 , Earliest start: 2025-01-01 , Latest end: 2026-02-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Earth Sciences , Chemistry , Biology , Architecture, Urban Environment and Building , Physics

Implementation of a Quality Management System in a diagnostic startup

This project focuses on design and implementation of a Quality Management System (QMS) for the production of PCR diagnostic devices and cartridges. The primary goals include developing and implementing high-level Standard Operating Procedures (SOPs), establishing robust Quality Control (QC) processes in manufacturing, and designing comprehensive training programs for staff. The project aims to ensure consistent product quality, regulatory compliance, and operational efficiency, contributing to the delivery of reliable and high-performing diagnostic solutions.

Keywords

Quality Management System (QMS) Standard Operating Procedures (SOPs) Quality Control (QC) Regulatory Compliance Manufacturing Processes Risk Management Continuous Improvement

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Published since: 2024-12-13 , Earliest start: 2025-01-01 , Latest end: 2025-09-01

Organization Functional Materials Laboratory

Hosts Gregorini Michele

Topics Engineering and Technology , Commerce, Management, Tourism and Services , Chemistry

MICRO-MULTI-PHYSICS AGENT-BASED MODELLING OF THE TRABECULAR BONE RESPONSE TO ESTROGEN DEPLETION

The proposed project will investigate the trabecular bone response to estrogen depletion and will be used to investigate the probability of the chosen mechanism of action for estrogen. The chosen mechanism of action will be validated using available experimental reference data.

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Osteoporosis, trabecular bone, python programming, simulation

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Published since: 2024-12-12 , Earliest start: 2024-09-01 , Latest end: 2025-08-31

Organization Müller Group / Laboratory for Bone Biomechanics

Hosts Schulte Friederike

Topics Medical and Health Sciences , Information, Computing and Communication Sciences

Adapting to Injuries for Dexterous In-Hand Manipulation

Develop a reinforcement learning-based method for training adaptive policies for dexterous in-hand manipulation systems to deal with actuator failure on the fly.

Keywords

Dexterous Manipulation, Reinforcement Learning, Adaptive Learning

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Published since: 2024-12-12 , Earliest start: 2024-12-16 , Latest end: 2025-06-01

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Robotic Systems Lab

Hosts Bhardwaj Arjun , Ma Yuntao

Topics Information, Computing and Communication Sciences

Extending Functional Scene Graphs to Include Articulated Object States

While traditional [1] and functional [2] scene graphs are capable of capturing the spatial relationships and functional interactions between objects and spaces, they encode each object as static, with fixed geometry. In this project, we aim to enable the estimation of the state of articulated objects and include it in the functional scene graph.

Keywords

scene understanding, scene graph, exploration

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Published since: 2024-12-11

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Computer Vision and Geometry Group

Hosts Bauer Zuria, Dr. , Trisovic Jelena , Zurbrügg René

Topics Information, Computing and Communication Sciences , Engineering and Technology

Offline LLM-Based Planning for Mobile Manipulation

Large Language Models have enormous potential to increase the generalization capability of robots. Specifically, they can allow mobile platforms to navigate successfully in unknown environments towards open-vocabulary goals. Current applications to mobile platforms are limited due to online models being both slow to query and requiring stable internet connection, which can not always be guaranteed. This project aims to explore the possibility of using a miniature LLM locally on the ALMA robot for navigation though unmapped space, with the goal of moving towards specifying objects using an open-vocabulary and interacting with them.

Keywords

Large Language Models, Mobile Manipulation, Robotics, Machine Learning, Planning

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Published since: 2024-12-11 , Earliest start: 2025-02-01 , Latest end: 2025-12-31

Organization Robotic Systems Lab

Hosts Elanjimattathil Aravind , Scheidemann Carmen

Topics Engineering and Technology

Active Object Localization with Touch

Develop active exploration strategies for object identification and localization with tactile feedback.

Keywords

Dexterous Manipulation, Object Retrieval, Active Localization, Tactile Sensing

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Published since: 2024-12-11 , Earliest start: 2024-12-15 , Latest end: 2025-06-01

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Robotic Systems Lab

Hosts Bhardwaj Arjun , Zurbrügg René

Topics Information, Computing and Communication Sciences

In vitro liver tissue models for studying liver regeneration and drug delivery systems

Many organ grafts are not suitable for transplantation due to excessive ischemic injury. In an effort to save these discarded grafts, ex vivo perfusion systems have been developed to extend the time window for organ repair. The liver, in particular, has a remarkable regenerative capacity and its ex vivo perfusion provides a unique opportunity to trigger regeneration pathways. Thus far, advanced perfusion technologies have enabled the preservation of the human liver outside of the body for up to two weeks using normothermic machine perfusion. Until now, this liver perfusion machine has only been employed to treat bacterial infections, determine tumour malignancy and assess liver function, yet how to stimulate growth and repair of liver grafts ex vivo remains unexplored. In order to effectively develop regeneration strategies, in vitro liver models are necessary since ex vivo human liver experiments are low-throughput, confounded by patient to patient variability and costly. Liver tissue slices, which are directly obtained from native liver tissue, preserve the intact hepatocellular architecture and microenvironment of the liver unlike 2D cell culture and organoid models. Thus, we aim to use liver tissue slices as a screening platform to identify pro-regenerative biomolecules and drugs. In addition, we will explore mRNA lipid nanoparticles to improve the delivery and therapeutic effect of candidate biomolecules and drugs for ex vivo liver perfusion.

Keywords

in vitro liver models, regeneration, drug screening, cell culture, molecular biology, biomedical engineering

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Published since: 2024-12-10 , Earliest start: 2025-01-12 , Latest end: 2026-05-31

Organization Macromolecular Engineering Laboratory

Hosts Cunningham Leslie

Topics Engineering and Technology , Biology

Precipitation-Based Processing of Lactide Copolymers for Shape Memory Polymer Development

Shape memory polymers (SMPs) are advanced materials capable of returning to their original shape when exposed to external stimuli such as heat or stress. Lactide copolymers, derived from renewable resources, are particularly attractive for SMP applications due to their tunable mechanical properties, thermal responsiveness, and biocompatibility. Optimizing precipitation-based processing techniques is critical to unlocking the full potential of lactide copolymers for advanced applications.

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Semester Project , Collaboration , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-10 , Earliest start: 2025-01-01 , Latest end: 2026-02-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Earth Sciences , Chemistry , Biology , Architecture, Urban Environment and Building

Selective Laser Sintering Parameter Development for Polyhydroxyalkanoates (PHA)

Selective Laser Sintering (SLS) is a versatile additive manufacturing process that creates complex components by fusing powdered materials layer by layer. This project focuses on optimizing SLS parameters for polyhydroxyalkanoates (PHA), a biodegradable thermoplastic derived from renewable resources. PHA is of great interest due to its biodegradability and potential applications in sustainable manufacturing.

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Published since: 2024-12-10 , Earliest start: 2025-01-01 , Latest end: 2026-03-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Earth Sciences , Chemistry , Biology , Architecture, Urban Environment and Building

Selective Laser Sintering of Cerium Oxide for High-Performance CO₂ Capture

Selective Laser Sintering (SLS) is a versatile additive manufacturing technique used to produce components by fusing powder materials layer by layer. This project focuses on the SLS processing of cerium oxide (ceria) for applications in carbon dioxide (CO2) capture. Ceria is a promising material in this domain due to its redox properties and potential for use in thermochemical cycles for CO₂ conversion and storage. However, optimizing its SLS processing parameters to ensure high-quality functional parts remains a challenge.

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Published since: 2024-12-10 , Earliest start: 2025-01-01 , Latest end: 2026-01-01

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Agricultural, Veterinary and Environmental Sciences , Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Economics , Earth Sciences , Chemistry , Biology , Behavioural and Cognitive Sciences , Architecture, Urban Environment and Building

Learning-based object orientation prediction for handovers

Humans are exceptional at handovers. Besides timing and spatial precision, they also have a high-level understanding of how the other person wants to use the object that is handed over. This information is needed to hand over an object, such that it can be used directly for a specific task. While robots can reason about grasp affordances, the integration of this information with perception and control is missing.

Keywords

Robot-Human Handover, Human-Robot-Interaction, Mobile Manipulation, Robotics

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Semester Project , Master Thesis

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Published since: 2024-12-10 , Earliest start: 2025-02-01 , Latest end: 2025-12-31

Organization Robotic Systems Lab

Hosts Scheidemann Carmen , Tulbure Andreea

Topics Information, Computing and Communication Sciences , Engineering and Technology

Single-cell Encapsulation for RNA Sequencing

This project focuses on understanding the metabolism of bacteria exposed to an enzymatic inhibitor. By employing microfluidic systems, we aim to perform a single-based encapsulation in hydrogel beads to be exposed to inhibitors. Using FACS-based sorting and bulk sequencing, bacteria in hydrogel beads will be sorted and the RNA from pool or individual beads will be extracted for sequencing. We aim to create an RNA sequencing protocol for sorted hydrogel beads containing bacteria to analyze the total gene expression profiles of our candidates.

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Keywords: Bacteria, RNA, droplets, microfluidic, high-throughput, hydrogel, gene expression, sequencing

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-09 , Earliest start: 2024-08-01 , Latest end: 2025-07-31

Organization Complex Materials

Hosts Enrriquez Nadia

Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology

pH Quantification in Emulsified Droplets for High-Throughput Screening

This project focuses on finding a suitable emulsification system for encapsulating bacteria in water-in-oil droplets. By employing microfluidic systems and versatile pH dyes, we aim to create emulsified droplets with reduced crosstalk rates to screen bacteria based on the pH changes as a result of their metabolic activity.

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Keywords: Bacteria, pH, droplets, microfluidic, high-throughput.

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-09 , Earliest start: 2024-08-01 , Latest end: 2025-07-31

Organization Complex Materials

Hosts Enrriquez Nadia

Topics Medical and Health Sciences , Engineering and Technology , Biology

Evolve to Grasp: Learning Optimal Finger Configuration for a Dexterous Multifingered Hand

Use evolutionary algorithms with analytical force closure metrics to learn the optimal morphology of a dexterous hand.

Keywords

Evolutionary Algorithm, Machine Learning, Grasping, Robotics

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Semester Project , Master Thesis

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Published since: 2024-12-09 , Earliest start: 2024-12-09 , Latest end: 2025-10-31

Applications limited to ETH Zurich

Organization Robotic Systems Lab

Hosts Church Joseph , Zurbrügg René

Topics Information, Computing and Communication Sciences

Learn to Reach: Collision Aware End-Effector Path Planning & Tracking using Reinforcement Learning

Develop a method for collision aware reaching tasks using reinforcement learning and shape encodings of the environment

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Reinforcement Learning, Robotics, Perception, Machine Learning

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Semester Project , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-09 , Earliest start: 2024-12-09 , Latest end: 2025-12-31

Applications limited to ETH Zurich

Organization Robotic Systems Lab

Hosts Zurbrügg René , Zurbrügg René , Portela Tifanny

Topics Information, Computing and Communication Sciences

Differential Particle Simulation for Robotics

This project focuses on applying differential particle-based simulation to address challenges in simulating real-world robotic tasks involving interactions with fluids, granular materials, and soft objects. Leveraging the differentiability of simulations, the project aims to enhance simulation accuracy with limited real-world data and explore learning robotic control using first-order gradient information.

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Semester Project , Master Thesis

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Published since: 2024-12-09 , Earliest start: 2025-01-01 , Latest end: 2025-12-31

Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne

Organization Robotic Systems Lab

Hosts Nan Fang , Ma Hao

Topics Engineering and Technology

Development of an acoustic trapping device for microbubbles and droplets

This project focuses on developing an acoustic trapping device to control micrometric bubbles, droplets and particles in suspension and subsequently on using their precise positioning to investigate bubble dynamics in ultrasound fields.

Keywords

bubbles, droplets, particles, acoustic trapping

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Semester Project , Bachelor Thesis

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Published since: 2024-12-09 , Earliest start: 2025-02-01 , Latest end: 2025-06-30

Applications limited to ETH Zurich

Organization Group Supponen

Hosts Bauer Tobias

Topics Engineering and Technology

Numerical and experimental investigations of powder stream behaviors in high-speed laser cladding (HSLC).

Laser cladding (LC) and high-speed laser cladding (HSLC) are direct metal deposition (DMD) techniques where metal powder is delivered to a substrate using a carrier gas, and a laser melts the powder and substrate to create a coating. The primary difference between LC and HSLC lies in the powder-laser interaction, as shown in Figure 1. In LC, the powder is injected into a molten pool on the substrate, while in HSLC, the powder is melted in flight before reaching the substrate. This distinction allows HSLC to achieve deposition speeds up to two orders of magnitude higher than LC while reducing the heat input to the substrate. Achieving these benefits, however, depends on the efficient and predictable interaction between the powder and the laser beam. This project investigates the behavior of powder streams in HSLC using a dual approach: advanced numerical simulations and experimental validations. It explores the influence of key input parameters, such as gas flow settings, nozzle geometry, and material properties, on powder stream dynamics. By combining numerical modeling and experimental analysis, the study aims to uncover new insights into powder stream behaviors, optimize the process, and refine the robustness of the model under diverse conditions.

Keywords

Additive manufacturing, 3D printing, Multi-physics, Numerical modeling

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Published since: 2024-12-09 , Earliest start: 2024-12-16

Organization Advanced Manufacturing Laboratory

Hosts Zhang Zhilang , Rippa Francesco

Topics Engineering and Technology

Conformal Prediction for Distribution Shift Detection in Online Learning

This project investigates the use of conformal prediction for detecting distribution shifts in online learning scenarios, with a focus on robotics applications. Distribution shifts, arising from deviations in task distributions or changes in robot dynamics, pose significant challenges to online learning systems by impacting learning efficiency and model performance. The project aims to develop a robust detection algorithm to address these shifts, classifying task distribution shifts as outliers while dynamically retraining models for characteristic shifts.

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Published since: 2024-12-09 , Earliest start: 2025-01-01 , Latest end: 2025-12-31

Organization Robotic Systems Lab

Hosts Ma Hao , Nan Fang

Topics Information, Computing and Communication Sciences , Engineering and Technology

Biomineralization of Hydrogels-Based Structures

Currently, the mineralization capacity of S. pasteurii is being exploited in developing construction materials in the form of bio-bricks and bio-cement. These materials are mostly compact structures with different degrees of porosity to increase the diffusion of nutrients through the material. Nevertheless, one recurrent challenge in biomineralized structures is the limited precipitation across the structure.

Keywords

Biomineralization, Hydrogel Scaffolds, Bacteria, 3D Printing

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2024-12-09 , Earliest start: 2024-08-01 , Latest end: 2025-04-01

Organization Complex Materials

Hosts Enrriquez Nadia

Topics Engineering and Technology , Chemistry , Biology

Visual Language Models for Long-Term Planning in Construction

This project uses Visual Language Models (VLMs) for high-level planning and supervision in construction tasks, enabling task prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management. prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management

Keywords

Visual Language Models, Long-term planning, Robotics

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Semester Project , Master Thesis

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Published since: 2024-12-06 , Earliest start: 2025-01-24 , Latest end: 2025-10-29

Organization Robotic Systems Lab

Hosts Terenzi Lorenzo

Topics Information, Computing and Communication Sciences

Learning Acrobatic Excavator Maneuvers

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project you will be working with the Gravis team to develop an algorithm that allows a 25-ton excavator to perform an acrobatics maneuver, the jump turn.

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Semester Project , Master Thesis

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2025-12-01

Organization Robotic Systems Lab

Hosts Egli Pascal Arturo , Zhang Weixuan

Topics Engineering and Technology

RL-Based Autonomous Excavation

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project, you will be working with the Gravis team to develop a vision-based system to detect anomalies during the autonomous operation of the machine. You will conduct your project at Gravis under joint supervision from RSL.

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2025-12-01

Organization Robotic Systems Lab

Hosts Zhang Weixuan , Egli Pascal Arturo

Topics Engineering and Technology

Data-Driven Joint Control

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project, you will be working with the Gravis team to develop a perceptive navigation system for an autonomous CAT323 excavator. You will conduct your project at Gravis with joint supervision with RSL.

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2026-01-01

Organization Robotic Systems Lab

Hosts Jelavic Edo , Egli Pascal Arturo

Topics Engineering and Technology

Taming the Invisible: Autonomous Gas Detection with ANYmal

Gas source localisation has many applications, such as responding to chemical accidents, detecting explosives, and identifying methane leaks from landfill sites. These tasks often take place in hazardous environments, posing significant risks to human operators. To mitigate these dangers, robotic systems are increasingly being developed to undertake these challenging missions. However, real-world gas localization presents a significant challenge: gas plumes are highly dynamic, exhibiting both temporal and spatial inconsistencies due to environmental factors such as wind, turbulence, and diffusion. Overcoming these complexities is essential for reliable robotic gas detection and localization.

Keywords

Navigation, Gas Sensing, Neural Network

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Published since: 2024-12-06

Organization Robotic Systems Lab

Hosts Richter Julia

Topics Information, Computing and Communication Sciences

Establishing a novel high throughput Drug Screening in vitro

The development of advanced drug formulations is a cornerstone of pharmaceutical innovation, directly influencing therapeutic efficacy, patient outcomes, and market success. Achieving optimal drug absorption and bioavailability remains one of the most significant challenges in formulation design, particularly for oral and parenteral delivery systems. Addressing this challenge is critical for advancing scientific understanding and also for accelerating drug discovery and reducing time-to-market for new therapies. This Master’s thesis project aims to develop an advanced cell culture assay to model drug absorption, providing a scientifically robust and commercially valuable platform for drug screening and optimizing novel drug formulations. By bridging gaps in current drug screening methodologies, this project will contribute to innovation in drug delivery technologies and enhance competitive positioning in the growing global market for pharmaceutical solutions.

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cell culture, drug screening, drug formulation, polymer,

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Master Thesis

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Published since: 2024-12-06 , Earliest start: 2024-12-09 , Latest end: 2025-12-31

Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Hochschulmedizin Zürich , IBM Research Zurich Lab , Institute for Research in Biomedicine , Zurich University of Applied Sciences , Wyss Translational Center Zurich , University of Zurich , University of Berne , University of Geneva , University of Basel , University of Fribourg , Swiss National Science Foundation , Empa , CSEM - Centre Suisse d'Electronique et Microtechnique , Department of Quantitative Biomedicine , Balgrist Campus , [nothing]

Organization Macromolecular Engineering Laboratory

Hosts Guzzi Elia

Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology

Perceptive Navigation

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on automation of heavy machinery (https://gravisrobotics.com/). In this project you will be working with the Gravis team to develop a perceptive navigation system for autonomous CAT323 excavator. You will conduct your project at Gravis with joint supervision with RSL.

Keywords

Perceptive Navigation, Autonomous Excavator

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Internship , Master Thesis

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2026-01-01

Organization Robotic Systems Lab

Hosts Jelavic Edo , Egli Pascal Arturo , Cizek Petr

Topics Engineering and Technology

Conductive thread modification for wearable strain sensors

The goal of the project is to modify commercially available conductive yarns to improve their operational properties for potential employment in novel garment-embedded sensors for human motion detection.

Keywords

wearable, smart textile, conductive, e-textile, sensor

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Published since: 2024-12-06 , Earliest start: 2024-10-01

Organization Biomedical and Mobile Health Technology Lab

Hosts Shokurov Aleksandr

Topics Medical and Health Sciences , Engineering and Technology , Chemistry

Autonomous Wear Evaluation of 3D Scanned Cutting Tool Geometry

Today, setting up new tools for machining is a very time-consuming process. Only a few parameters, such as length and nose radius, are known to the machine. In addition, wear must be assessed manu-ally by looking at the tool under a microscope. Even then, only a visual inspection is possible. The actual changes in tool geometry are not detected. In this thesis you will develop a system to evaluate tool wear on 3D scans of the geometry of the tools. The focus will be on two different technologies: Photogrammetry, where the 3D model is re-constructed from 2D images, and structured light scanning, where 3D positions can be measured directly. There is an existing system for photogrammetry that was trained on synthetic data to which a structured light sensor will be added

Keywords

Machine Vision, Structured Light Scanner, Tool Wear

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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-06 , Earliest start: 2025-01-13 , Latest end: 2026-01-31

Organization ETH Zurich

Hosts Zwicker Ruben

Topics Information, Computing and Communication Sciences , Engineering and Technology

RL-Based Stockpile Management for Autonomous Excavators

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project, you will be working with the Gravis team to develop an RL-based perceptive planning and control system for stockpile management for an autonomous excavator. You will conduct your project at Gravis under joint supervision from RSL.

Keywords

Reinforcement Learning, Autonomous Excavation

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2026-01-01

Organization Robotic Systems Lab

Hosts Egli Pascal Arturo

Topics Engineering and Technology

Vision-Based Anomaly Detection for Autonomous Excavators

Gravis Robotics is an ETH spinoff from the Robotic Systems Lab (RSL) working on the automation of heavy machinery (https://gravisrobotics.com/). In this project, you will be working with the Gravis team to develop a vision-based system to detect anomalies during the autonomous operation of the machine. You will conduct your project at Gravis under joint supervision from RSL.

Keywords

Vision, Autonomous Excavator

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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2026-01-01

Organization Robotic Systems Lab

Hosts Zhang Weixuan , Egli Pascal Arturo

Topics Engineering and Technology

LLM-Driven Skill Acquisition for the ANYmal robot

The goal of this project is to apply LLMs to teach the ANYmal robot new low-level skills via Reinforcement Learning (RL) that the task planner identifies to be missing.

Keywords

Large Language Models, Reinforcement Learning, Robotics

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Master Thesis

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Published since: 2024-12-03

Applications limited to ETH Zurich

Organization Robotic Systems Lab

Hosts Roth Pascal , Portela Tifanny

Topics Information, Computing and Communication Sciences

Diffusion-based Shared Autonomy System for Telemanipulation

Robots may not be able to complete tasks fully autonomously in unstructured or unseen environments, however direct teleoperation from human operators may also be challenging due to the difficulty of providing full situational awareness to the operator as well as degradation in communication leading to the loss of control authority. This motivates the use of shared autonomy for assisting the operator thereby enhancing the performance during the task. In this project, we aim to develop a shared autonomy framework for teleoperation of manipulator arms, to assist non-expert users or in the presence of degraded communication. Imitation learning, such as diffusion models, have emerged as a popular and scalable approach for learning manipulation tasks [1, 2]. Additionally, recent works have combined this with partial diffusion to enable shared autonomy [3]. However, the tasks were restricted to simple 2D domains. In this project, we wish to extend previous work in the lab using diffusion-based imitation learning, to enable shared autonomy for non-expert users to complete unseen tasks or in degraded communication environments.

Keywords

Imitation learning, Robotics, Manipulation, Teleoperation

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Semester Project , ETH Zurich (ETHZ)

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Published since: 2024-12-02 , Earliest start: 2024-11-01 , Latest end: 2025-11-01

Applications limited to ETH Zurich , University of Zurich

Organization Robotic Systems Lab

Hosts Elanjimattathil Aravind

Topics Information, Computing and Communication Sciences , Engineering and Technology

Image-based analysis of liver tissue viability

The goal of this project is to establish a python code to analyse microscopy images of liver tissue to detect changes in phenotype in response to pro-regenerative biomolecules and drugs. The tissue will be stained with hematoxylin and eosin to visualize nuclei and cytoplasmic structures respectively. Phenotypic changes in nuclei number and size as well as sinusoidal lumen dilation will be computationally analyzed. The automated analysis of microscopy images will enable the quantitative assessment of phenotypic changes in liver tissue in a more robust and high throughput manner. The tasks will include - Literature search, what tools are already in use for automatic processing of microscopy images of liver tissue? How is the pipeline set up? - Understanding the provided microscopy images and which features are of interest - Extracting image features using computer vision (CV) algorithms - Verifying the generated algorithm on a large set of data We are looking for a motivated student for a bachelor thesis or semester project. The student should have some experience using python. As the project is centered around CV, strong interest in that topic is necessary. Prior knowledge in CV is favored but not necessary and can be learned during the project.

Keywords

microscopy image analysis python biomedical engineering computational liver

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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-12-02 , Earliest start: 2024-12-15 , Latest end: 2025-12-31

Organization Macromolecular Engineering Laboratory

Hosts Cunningham Leslie , Binz Jonas

Topics Information, Computing and Communication Sciences , Biology

Deep Learning of Residual Physics For Soft Robot Simulation

Incorporating state-of-the-art deep learning approaches to augment conventional soft robotic simulations for a fast, accurate and useful simulation for real soft robots.

Keywords

Soft Robotics, Machine Learning, Physical Modeling, Simulation

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Semester Project , Master Thesis

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Published since: 2024-12-01 , Earliest start: 2024-08-01 , Latest end: 2025-06-30

Organization Soft Robotics Lab

Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.

Topics Information, Computing and Communication Sciences , Engineering and Technology

Feedback Loop Control for L-PBF Process Using in situ Sensor Data

This project proposal aims to develop JavaScript algorithms that facilitate seamless interaction with the webpage controlling a Laser Powder Bed Fusion (L-PBF) machine. Currently, the operation of L-PBF machines involves repetitive manual steps in preparing new build jobs, limiting efficiency and real-time adaptability. Additionally, the project seeks to integrate in situ sensors like pyrometers, cameras, and eddy current sensors to enable feedback loop control. These sensors will provide real-time data to the JavaScript script, allowing it to autonomously pause, adjust parameters for different parts, and resume printing at the next layer. Furthermore, the project aims to integrate Python/Netfabb slicing to re-slice parts with varying parameters, enhancing the adaptability and precision of the L-PBF process.This project aims to enhance the efficiency and precision of L-PBF machine operations, reduce manual labor, and enable real-time adaptability through the use of JavaScript algorithms.

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Semester Project , Course Project , Collaboration , Internship , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)

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Published since: 2024-11-28 , Earliest start: 2024-01-01 , Latest end: 2025-06-20

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Physics

Powder Bed Fusion of Shape Memory Alloys as actuators for lightweight and complex soft robots

Soft robots are a rapidly growing field that has a variety of applications in areas such as healthcare, automation, and exploration. One of the major challenges in designing soft robots is the development of actuators that can mimic the movement and flexibility of natural muscles. Shape memory alloys (SMAs) are materials that can change shape when heated, making them ideal for use as actuators. Powder bed fusion (PBF) is an additive manufacturing process that can be used to create complex shapes with high accuracy, making it an ideal technique for manufacturing SMA actuators.

Keywords

Soft robots, shape memory alloys, additive manufacturing, PBF

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Semester Project , Collaboration , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-11-28 , Earliest start: 2023-05-11 , Latest end: 2024-07-05

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Engineering and Technology

Computer Vision and Artificial Intelligence for 3D Powder Bed Reconstruction

Laser powder bed fusion (L-PBF) is an additive manufacturing (AM) technique capable of producing 3D parts from metallic powders in a layer-by-layer fashion starting from a 3D Computer-Aided Design (CAD) model. The L-PBF process also presents some new challenges such as part porosity, rough surface finish, cracking, etc., which may compromise the integrity of the produced parts. The aim of this project is to investigate the robustness of artificial intelligence and machine learning algorithms for the visual inspection of layer-wise powder bed images.

Keywords

Machine learning, Additive Manufacturing, L-PBF, PBF, Computer Vision, Process Monitoring

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Semester Project , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-11-28 , Earliest start: 2024-01-01 , Latest end: 2025-04-11

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Engineering and Technology

Understanding and Mitigating Spatter in Laser Powder Bed Fusion (L-PBF)

This master's thesis proposal aims to tackle the challenge of spatter formation in Laser Powder Bed Fusion (L-PBF). Spatter, the unintended ejection of molten material droplets, can compromise component quality and increase production costs. The study will involve hardware and process parameter analysis to prevent or capture spatter, extending its focus to assess spatter's impact on aluminum and steel alloys commonly used in L-PBF.

Keywords

Laser Powder Bed Fusion, 3D Printing, Alloys, Metal, Simulations, COMSOL, Gas flow, Physics, Electronics, Mechanics, Mechanical Engineering, Electrical Engineering, Computer Science, Design, CAD modelling

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IDEA League Student Grant (IDL) , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2024-11-28 , Earliest start: 2023-10-12 , Latest end: 2025-04-30

Organization Advanced Manufacturing Laboratory

Hosts Tosoratti Enrico

Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Education , Physics

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