Bachelor
Bachelor Theses at IRIS
Moisture Sensing and Data Integration for Sustainable Waste Management
Integration of a moisture sensor with the UpCircle Tool to measure water content in waste bales and develop a recommendation system using weather and location data. Conducted at the Startup UpCircle in Oerlikon.
Keywords
Data integration Data mining Sensor integration App integration Sustainability
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Semester Project , Bachelor Thesis
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Published since: 2025-09-23 , Earliest start: 2025-08-26
Organization Robotic Systems Lab
Hosts Kolvenbach Hendrik
Topics Engineering and Technology
Electroluminescent Fiber-based Wearable Application
This project aims to develop electroluminescent (EL) fiber-based devices/system for physiological signal detection and/or visualization. By integrating optical emission devices with signal detector modulation, we will create wearable fibers capable of simultaneously sensing health information, paving the way for next-generation smart textiles.
Keywords
Electroluminescent fibers, smart textiles, wearable electronics
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-23 , Earliest start: 2025-09-19
Organization Biomedical and Mobile Health Technology Lab
Hosts Li Yuanlong , Yang Weifeng
Topics Engineering and Technology , Physics
Feasibility of RehabCoach on Adherence to Unsupervised Robot-Assisted Therapy – Implementation and Evaluation of Smart Reminders
Adherence to rehabilitation therapy is essential for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, maintaining engagement outside clinical settings remains a challenge. This project involves a feasibility study to evaluate the adherence of patients using the RehabCoach app as part of a one-week unsupervised robot-assisted program simulation. The study assesses user engagement, app interaction patterns, and the effectiveness of push notifications/smart reminders in sustaining adherence to the training program. The key components of this research are the development of a smart algorithm for triggering push notifications based on specific user behaviors, such as therapy completion or inactivity, to optimize adherence, as well as conducting the study with a few participants.
Keywords
Stroke, Traumatic Brain Injury, Rehabilitation Therapy, Adherence, Push Notifications, Mobile Health App, Interdisciplinary Research, Python, Django
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-16 , Earliest start: 2025-09-21 , Latest end: 2026-03-31
Organization Rehabilitation Engineering Lab
Hosts Retevoi Alexandra
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Simulation of cellular-force-microscopy-integrated lab-on-a-chip devices for in-situ biohybrid microrobot characterization
Microfluidic devices can be employed in biological research as lab-on-a-chip (LoC) and organ-on-a-chip (OoC) systems. These platforms enable precise in-situ cell manipulation within a highly controlled environment and have proven beneficial for the large-scale production of biohybrid magnetic microrobots. Integrating the LoC devices with the cellular force microscope (CFM) allows for real-time monitoring and in-situ mechanical characterization of biohybrid magnetic microrobots during their production and incubation. The goal of this project is to design and simulate an intelligent LoC/OoC device integrated with CFM for in-situ monitoring and characterization during microrobot production and drug testing.
Keywords
Lab-on-a-chip, organ-on-a-chip, magnetic microrobot, cellular force microscope, simulation
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Semester Project , Bachelor Thesis
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Published since: 2025-09-09 , Earliest start: 2025-09-09 , Latest end: 2026-03-31
Organization Multiscale Robotics Lab
Hosts Zhu Jiawei
Topics Engineering and Technology
Low-cost Lunar Dust Testing Chamber Development
This hardware-focused thesis will develop a low-cost dust testing chamber for the Lunar Leaper project that is suitable to analyse the dust kickup of different gaits as well as the power loss due to sinkage.
Keywords
moon; lunar; dust; leaper; testing; hardware
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-09-02 , Earliest start: 2025-09-16 , Latest end: 2026-02-28
Organization Robotic Systems Lab
Hosts Krasnova Elena , Church Joseph
Topics Engineering and Technology
Reinforcement Learning for Magnetic Levitation
This project explores the control of freely levitating objects in space using electromagnetic navigation using reinforcement learning. By generating controlled magnetic fields, we can wirelessly manipulate the position and orientation of the levitating magnetic object. A fully functional experimental platform is already available, providing a rich testbed for exploring advanced control strategies.
Keywords
reinforcement learning
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Published since: 2025-09-01 , Earliest start: 2025-09-02 , Latest end: 2026-12-31
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Design data acquisition solution for smart clothing
The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, PCB, electronics, computer science
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Semester Project , Internship , Bachelor Thesis
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Published since: 2025-08-27 , Earliest start: 2025-07-01 , Latest end: 2025-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
ADHD-Biomarker Study: Software development of Data Collection and Data Management Structures
The Rehabilitation Engineering Laboratory (ReLab), ETH Zurich is running a paediatric study that integrates fNIRS, EEG, eye-tracking and motion sensing to establish objective biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD). You will create the technical backbone of a multimodal data-collection setup – coding computerized attention tests, synchronizing hardware, and delivering clean, well-documented datasets for downstream research.
Keywords
ADHD, Biomarker, fNIRS, EEG, Eye-tracking, Motion sensing, Data collection, Data management, Software engineering
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Semester Project , Course Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-08-08 , Earliest start: 2025-08-10 , Latest end: 2026-03-31
Organization Rehabilitation Engineering Lab
Hosts Schönhammer Josef
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
ADHD-Biomarker Study: Neuropsychological Task Development and Data Analytics
The Rehabilitation Engineering Laboratory (ReLab), ETH Zurich is running a pediatric study that integrates fNIRS, EEG, eye-tracking and motion sensing to establish objective biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD). You will drive the scientific backbone of the project – optimizing child-specific task parameters, leading participant interaction, and conducting and presenting statistical analyses.
Keywords
ADHD, Biomarkers, Neuropsychology, fNIRS, EEG, Eye-tracking, Motion Capture, Data Analytics, Statistical Analysis
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Semester Project , Course Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-08-08 , Earliest start: 2025-08-10 , Latest end: 2026-03-31
Organization Rehabilitation Engineering Lab
Hosts Schönhammer Josef
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Learning-based Control for Magnetic Levitation
This project explores the control of freely levitating objects in space using electromagnetic navigation, as illustrated in the image above. By generating controlled magnetic fields, we can wirelessly manipulate the position and orientation of the levitating magnetic object. A fully functional experimental platform is already available, providing a rich testbed for exploring advanced control strategies.
Keywords
magnetic levitation control, learning-based control, Model Predictive Control
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-08-06 , Earliest start: 2025-08-07 , Latest end: 2026-12-31
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
Revolutionizing Medicine with Magnetoelectric Nanorobots: Toward Wireless and Minimally Invasive Therapies
Magnetoelectric nanorobots, assembled from core–shell nanoparticles that integrate a magnetic core and a piezoelectric shell, enable wireless actuation by transducing magnetic fields into localized electric responses. Through controlled synthesis and functional design, these nanosystems can be endowed with navigation, responsiveness, and biocompatibility, paving the way for advanced applications in remote biomedical stimulation, targeted drug delivery, and intelligent therapeutic platforms.
Keywords
Nanorobot, Microrobot, Magnetoelectric Nanoparticles, Core-Shell Synthesis, Cobalt Ferrite, Barium Titanate, Targeted Drug Delivery, Cancer Treatment
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Published since: 2025-08-04 , Earliest start: 2025-09-15
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Vezzoni Alessia
Topics Engineering and Technology , Chemistry , Biology
Mechanistic Evaluation of taVNS in Motor Adaptation for Stroke Rehabilitation
This study aims to evaluate the mechanisms by which transauricular vagus nerve stimulation (taVNS) may facilitate motor learning and adaptation, focusing on reticulospinal tract (RST) activation. A set of assessments will be used to build a comprehensive neurophysiological profile, providing insights relevant to developing taVNS-based clinical interventions. In this role, you will engage in study design, data collection, and analysis, gaining hands-on experience in mechanistic neurophysiological research with direct clinical applications.
Keywords
Transauricular vagus nerve stimulation (taVNS) Reticulospinal tract (RST) Motor learning StartReact paradigm Stroke rehabilitation Neurophysiology Multisite EMG Motor pathway activation Clinical neurostimulation
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Published since: 2025-08-04 , Earliest start: 2024-11-24 , Latest end: 2025-10-26
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Medical and Health Sciences , Engineering and Technology
Master Thesis – Data Platforms & Kinematic Biomarkers in Neurorehabilitation
Join Skaaltec, an ETH Zürich spin-off project hosted at RELab, and help build digital infrastructure for our SmartVNS stroke rehabilitation system. This thesis offers an opportunity to work in a research project with a direct pathway to translate into clinical application.
Keywords
neurorehabilitation, kinematic analysis, clinical evaluation, neurotechnology, biomarker discovery, biomedical signal processing, time-series data processing, data processing pipelines, data modeling, full-stack development, cloud services, containerization, database management, IMU data, UI/UX, Python, Django, React
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Published since: 2025-07-31 , Earliest start: 2025-08-01 , Latest end: 2026-05-31
Organization Rehabilitation Engineering Lab
Hosts Roady Alen , Viskaitis Paulius
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Internship – Scalable Data Processing for a Wearable Stroke Rehab System
Join Skaaltec, an ETH Zürich spin-off project hosted at RELab, and help build digital infrastructure for our SmartVNS stroke rehabilitation system. This internship offers an opportunity to work on bridging the gap from academic research to clinical application.
Keywords
neurotechnology, time-series data processing, data modeling, full-stack development, cloud services, containerization, database management, web technologies, CI/CD, IMU data, IoT, UI/UX, Raspberry Pi, Electron Python, Django, React, Astro, Decap CMS, BLE
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Published since: 2025-07-31 , Earliest start: 2025-08-01 , Latest end: 2026-05-31
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius , Roady Alen
Topics Information, Computing and Communication Sciences , Engineering and Technology
Firmware and Readout System for Joint and Tactile Sensing in Robotic Hands Using SoC Microcontrollers
The student will develop firmware for a system-on-chip (SoC) microcontroller to enable efficient readout of serialized sensor data in tendon-driven robotic hands. Tasks include analyzing existing readout methods, evaluating SoC architectures, implementing optimized firmware, and validating the system on development boards. Depending on the project scope, the student may also design a compact hardware platform integrating the chosen SoC and supporting components for a complete prototype.
Keywords
Embedded systems, Sensor integration, Robotic hands, Microcontroller, Data acquisition
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-07-28 , Earliest start: 2025-08-01
Organization Soft Robotics Lab
Hosts Kim Jaehoon
Topics Engineering and Technology
Development of flexible, biocompatible electrodes for vagus nerve stimulation therapy
Stroke is the most common cause of disability and as many as 14 million people suffer a stroke every year. Typical therapy today is focused on physical exercises and rarely combats the core of the problem - the interactions between the motor actions and the activity patterns of the injured brain. Therefore, we are developing a cutting-edge medical device that helps combine physical therapy with a non-invasive brain stimulation. This is expected to boost recovery after stroke and make this advanced neuro-therapy accessible to millions of people who need it.
Keywords
Biocompatibility Conductive Materials Vagus Nerve Stimulation (VNS) Transcutaneous VNS (tVNS) Stroke Rehabilitation Therapy Medical Device Engineering Electrode Design and Prototyping Materials Science Biomedical Engineering Neurorehabilitation Clinical Usability Patient-Centred Design
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Published since: 2025-07-22 , Earliest start: 2024-11-24 , Latest end: 2025-10-31
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Medical and Health Sciences , Engineering and Technology
Development and Testing of Electrical Systems for a SmartVNS Docking Station with Focus on Wireless Data Management
We are looking for an enthusiastic electrical/firmware engineer to design and implement the electrical and firmware aspects of a docking station for the SmartVNS device. The station will charge the device components (pulse generator and wrist motion tracker) and pull data from the pulse generator and motion tracker, uploading it to an online server via Wi-Fi. This project will also involve testing the reliability of data transfer and power systems under real-world conditions, providing valuable insights into the practical application of this technology.
Keywords
Electrical, embedded, electronic, engineering, biomedical
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Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-07-17 , Earliest start: 2024-08-18 , Latest end: 2025-10-01
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Information, Computing and Communication Sciences , Engineering and Technology
Computational Modeling of Muscle Dynamics for Biohybrid Robots
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems.
Keywords
Biohybrid Robotics, Computational Models, Soft Body Simulation, Finite Element Method (FEM), Muscle Dynamics, Soft Robotics
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Published since: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Biology , Physics
GPU Acceleration of Soft Robot Modeling: Enhancing Performance with CUDA
We are enhancing soft robot modeling by developing a GPU-accelerated version of our FEM-based framework using CUDA. This research focuses on optimizing parallel computations to significantly speed up simulations, enabling larger problem sizes and real-time control. By improving computational efficiency, we aim to advance soft robotics research and facilitate more detailed, dynamic simulations.
Keywords
Soft Body Simulation, high-performance computing, GPU programming, Parallel Computing, Finite Element Method (FEM), Multiphysics Simulation
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Published since: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Mekkattu Manuel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Soft Robot Modeling: Integrating Physics, Optimization, and Control
We are advancing soft robot simulation with FEM and energy-based methods to model complex, adaptive behaviors. This research entails developing the framework to support diverse designs, integrate new physics models, and optimize performance, enabling enhanced control and real-world applications of soft robots.
Keywords
Soft Robotics, Finite Element Method (FEM), Physical Modeling, Benchmarking, Optimization, Multiphysics Simulation, Sim-to-Real
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Published since: 2025-07-11 , Earliest start: 2025-02-01 , Latest end: 2026-02-01
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Internships (Industrial or Research) on Body Modelling and Sensing Technology for Health Care in SCI
This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction.
Keywords
Machine learning, time-series, HR, ECG, BP, wearables, nearables, Medical and health science, healthcare, Android studio, App development
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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2025-07-10 , Earliest start: 2025-09-01 , Latest end: 2026-06-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Eawag , Zurich University of the Arts , Zurich University of Applied Sciences , Wyss Translational Center Zurich , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , IBM Research Zurich Lab , Swiss Institute of Bioinformatics , CSEM - Centre Suisse d'Electronique et Microtechnique , Corporates Switzerland , CERN , Hochschulmedizin Zürich , Université de Neuchâtel , Università della Svizzera italiana , Swiss National Science Foundation , University of Konstanz , University of Hamburg , University of Erlangen-Nuremberg , University of Cologne , Universität zu Lübeck , Universität Ulm , Universität der Bundeswehr München , TU Dresden , TU Darmstadt , TU Berlin , Technische Universität Hamburg , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Ludwig Maximilians Universiy Munich , Humboldt-Universität zu Berlin , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Max Delbruck Center for Molecular Medicine (MDC) , Technische Universität München , Imperial College London , National Institute for Medical Research , Royal College of Art , UCL - University College London , University of Aberdeen , University of Cambridge , University of Manchester , University of Nottingham , University of Oxford , University of Leeds , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Perceptive Bipedal‑Wheeled Locomotion Using Direct Depth‑Camera Inputs
Recent work [1] trains perceptive quadrupedal locomotion policies directly from depth images using teacher‑student distillation and RL fine‑tuning, achieving robust traversal over challenging terrain. The egocentric vision problem usually requires RL fine-tuning or more complex training schemes to enable active perception due to the information gap between teacher and student observations. This project aims to bring depth camera-based perceptive locomotion policies to a wheeled-bipedal robot. We believe that this might be more adequate than elevation map-based perception, due to the highly dynamic nature of its locomotion. We put high emphasis on novel training schemes to reduce the number of training phases. Initial inspiration could be drawn from [2]. References: [1]: https://arxiv.org/abs/2505.11164 [2]: https://arxiv.org/abs/2412.09149
Keywords
Perceptive locomotion · Depth camera · Bipedal‑wheeled Robot · End‑to‑end RL · Sim‑to‑real
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Published since: 2025-07-09
Organization Robotic Systems Lab
Hosts Schwarke Clemens , Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning Continuous-Time Feedback Laws for Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (HRL) typically operates by decomposing tasks into high-level planners and low-level controllers. While high-level policies often evolve at discrete timescales, the low-level controller must generate fast, robust behaviors. This is usually framed as feedback laws or motion trajectories. In this project, we propose to learn continuous-time dynamical systems in the form of ODEs as low-level feedback controllers. The idea is to learn an ordinary differential equation (ODE) whose integral curve realizes the low-level trajectory, or whose vector field provides feedback behavior. These models offer several advantages: they are interpretable, temporally coherent, and can generalize better under time perturbations. The student will implement and evaluate ODE-based controllers within a hierarchical RL setup and compare their performance against standard low-level policy architectures (e.g., feedforward MLPs, recurrent policies). We are also open to shape the projects in the context of operator learning. References as inspiration: https://arxiv.org/pdf/1806.07366 https://arxiv.org/pdf/1909.12077 https://arxiv.org/pdf/2006.04439 https://arxiv.org/pdf/2402.15715
Keywords
Reinforcement Learning, Neural ODEs, Feedback Control, Hierarchical Policies, Continuous-Time Policies, Operator Learning
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Published since: 2025-07-07
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Rigid Body Dynamics as Sum of Squares: Reformulation and Investigation with Optimality Certificates
Rigid-body dynamics are foundational to robotics and mechanical systems. Surprisingly, although their equations often contain trigonometric or rational terms, they can typically be reformulated as (rational) polynomial systems. This opens the door to a powerful toolset: Sum-of-Squares (SOS) optimization. In this project, the student will explore how to reformulate the equations of rigid-body systems into polynomial forms suitable for SOS-based analysis (or its dual, the moment hierarchy). Through this lens, many classic robotics problems, such as verifying the global stability of visuomotor controller [1] or certifying optimality of solutions [2], can be recast as (convex) optimization problems. This project will investigate how far these methods scale: Can we extend them to complex robots? Can we prove properties like exponential stability or generate globally valid Lyapunov functions for general mechanical systems? Can we extract optimality certificates for complex dynamic trajectories? The student will implement tools for converting rigid-body models (e.g., simple pendulums, planar robots) into their polynomial equivalents, and then apply SOS programming and S-procedure techniques to verify Lyapunov stability or derive optimal controllers. References: [1] G. Chou and R. Tedrake, “Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization,” in IEEE Conference on Decision and Control (CDC), 2023. doi: 10.48550/arXiv.2304.12405. [2] S. Teng, A. Jasour, R. Vasudevan, and M. Jadidi, “Convex Geometric Motion Planning on Lie Groups via Moment Relaxation,” in Robotics: Science and Systems XIX, 2023. doi: 10.15607/RSS.2023.XIX.058.
Keywords
Rigid-Body Dynamics, Polynomial Systems, SOS Optimization, Lyapunov Stability, Convex Programming
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Published since: 2025-07-07
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Deep Reinforcement Learning to Control Microrobots in 3D Dynamic Flow Environments
Identifying effective control strategies for the automation of acoustic robotic systems is challenging in a microfluidic environment. This project focuses on reinforcement learning (RL) to control microrobots in chaotic microfluidic flow and vortices.
Keywords
Reinforcement learning, Artificial Intelligence, Ultrasound, Fluid control
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Published since: 2025-07-05 , Earliest start: 2025-07-01 , Latest end: 2025-10-31
Organization Acoustic Robotics for Life Sciences and Healthcare (ARSL)
Hosts Medany Mahmoud
Topics Information, Computing and Communication Sciences , Engineering and Technology
3D-Printed Hydrogel-Based Composites with Engineered Core–Shell Magnetoelectric Networks For Biomedical Applications.
Magnetoelectric materials are highly promising in biomedicine due to their unique ability to couple magnetic and electric fields. This coupling allows for remote and precise control of various biological processes. For instance, in drug delivery, magnetoelectric nanoparticles can be directed to specific locations within the body using an external magnetic field, followed by electrical stimulation to trigger the release of therapeutic agents. Their responsiveness and multifunctionality make magnetoelectrics a versatile tool in advancing non-invasive medical treatments and targeted therapies. In this project we aim to improve the core-shell architecture of the magnetoelectric nanoparticles (ME NPs). Afterwards, a reliable protocol to create a homogenous and colloidally stable inks (i.e. mixture of the ME NPs and a hydrogel) will be established. The ink formulation will be tested within the custom-made 3D printer. Finally, multifunctional composites will be fabricated and tested for the brain tissue stimulation.
Keywords
Nanoparticle, Iron Oxide, Barium Titanate, Surface engineering, Ink formulation, Additive Manufacturing, Digital Light Processing, Brain Tissue, Wireless Stimulation
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-02 , Earliest start: 2025-07-02 , Latest end: 2026-03-31
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Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Engineering and Technology , Chemistry , Biology
Volumetric Bioprinting of Engineered Muscle Tissues
We are working with an innovative volumetric printing technique – Xolography – to fabricate engineered muscle tissues that function as bioactuators for biohybrid systems. You will work at the interface between biology and robotics, helping us exploring new designs and strategies to advance the field of muscle tissue engineering and muscle-powered living machines.
Keywords
bioprinting, muscle, tissue engineering, 3D cell culture, hydrogels, biohybrid robotics, regenerative medicine, 3D models, biomaterials, biofabrication.
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-06-27 , Earliest start: 2025-07-15
Organization Soft Robotics Lab
Hosts Badolato Asia
Topics Medical and Health Sciences , Engineering and Technology , Chemistry , Biology
CI/CD Automation and Testing for Embedded Systems
Design and implement a robust CI/CD pipeline for our embedded software development.
Keywords
firmware, embedded, github, cicd, workflow
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Published since: 2025-06-23
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Information, Computing and Communication Sciences
Flash Storage and USB Communication for Embedded Systems
This project targets performance and feature enhancements to a firmware module that manages data transfers from flash memory to a host PC over USB (CDC/ACM). The goal is to improve system reliability, throughput, and communication efficiency for data logging or diagnostic use cases.
Keywords
embedded, c programming, firmware, flash memory, usb
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Published since: 2025-06-23
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Information, Computing and Communication Sciences , Engineering and Technology
Doxygen Documentation Pipeline for Embedded Firmware
You will help improve the usability and maintainability of Skaaltec’s embedded firmware codebase by integrating automated documentation generation using Doxygen.
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Published since: 2025-06-23
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
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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Published since: 2025-06-04 , Earliest start: 2024-12-15 , Latest end: 2025-06-01
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Organization Robotic Systems Lab
Hosts Bhardwaj Arjun , Zurbrügg René
Topics Information, Computing and Communication Sciences
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: 2025-05-28 , Earliest start: 2025-06-02
Organization Soft Robotics Lab
Hosts Badolato Asia , Katzschmann Robert, Prof. Dr.
Topics Medical and Health Sciences , Engineering and Technology , Biology