Student Projects
Student Projects by Associated Institutes
Connecting AI Agents and Controllers for Instructing Rehabilitation Robots
We are looking for a motivated student to contribute to the integration of our LLM-based voice control interface into a robot. Ultimately, we are targeting exoskeletons for rehabilitation therapy. This work will focus on a demonstration robot, likely a Novint Falcon haptic system. You will build Model Context Protocol (MCP) servers (or similar) to integrate with both robot controllers and the AI and you will help handle the connection to the server where we are hosting the LLM.
Keywords
rehabilitation, therapy, exoskeleton, LLM, MCP, integration, robot, interface, voice control
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-05-18 , Earliest start: 2026-06-01 , Latest end: 2026-10-31
Organization Sensory-Motor Systems Lab
Hosts von Max-Ole
Topics Information, Computing and Communication Sciences
Emergent Acoustic Communication in Robot Groups
Can robots develop their own communication system through sound? We are looking for motivated students to join an interdisciplinary research project at the intersection of robotics, AI, acoustic signaling, and collective behavior.
Keywords
Emergent acoustic communication, Robot Learning, multi-agent communication.
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Semester Project , Master Thesis
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Published since: 2026-05-16 , Earliest start: 2026-05-15
Organization Robotic Systems Lab
Hosts An Tianxu , Wang Shengzhi
Topics Information, Computing and Communication Sciences , Engineering and Technology
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: 2026-05-15 , Earliest start: 2026-09-14
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Hybrid Triangle and Gaussian Splatting
Photorealistic simulation and high-speed rendering are the basis of many modern robotics projects, but we are currently trapped in a binary: the rigid, memory-efficient world of triangle meshes versus the high-fidelity, computationally expensive world of neural representations. We propose a Hybrid Geometry Engine that abandons this "one-size-fits-all" approach. By representing static, flat architectural surfaces as optimized triangle meshes and complex 3D objects or volumetrics as 3D Gaussians, this project seeks to unlock a new paradigm for large-scale digital twins and robotic simulation.
Keywords
Computer Graphics 3D Gaussian Splatting Rendering
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Master Thesis
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Published since: 2026-05-14 , Earliest start: 2026-05-18
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Wilder-Smith Max
Topics Information, Computing and Communication Sciences
3D Scene Completion in Gaussian Splatting
Robots rarely get the luxury of a perfect map. During exploration, they are constantly fighting against "unknowables" such as occlusions, shadows, and unvisited corners that leave gaps in their understanding of the world. This project aims to address this by implementing 3D Gaussian Scene Completion, where the system proactively fills unobserved regions with learned geometric priors.
Keywords
3D Gaussian Splatting Scene reconstruction Scene completion 3D Graphics
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Master Thesis
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Published since: 2026-05-14 , Earliest start: 2026-05-18
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Wilder-Smith Max
Topics Information, Computing and Communication Sciences
Event Cameras for Agile Drone 3D Perception
Fast drones often move too quickly for conventional cameras, resulting in motion blur and unreliable 3D perception. This project investigates how event cameras, which capture microsecond-level brightness changes, can help drones “see clearly” during aggressive flight. The student will develop learning-based methods that combine standard images, event data, and motion cues to recover sharp visual information and reconstruct the 3D environment.
Keywords
Event cameras, Aerial robotics, 3D reconstruction, dynamic scenes, event-based vision
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Master Thesis
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Published since: 2026-05-14 , Earliest start: 2026-05-14
Organization Robotics and Perception
Hosts Zou Rong
Topics Information, Computing and Communication Sciences
Physiological Evaluation of the Effect of a Back Support Occupational Exoskeleton
This objective of this Master thesis project is to evaluate the effect of the LiftSuit, a soft back support occupational exoskeleton, on muscle activity (EMG measurements), cardiovascular load (heart rate) and subjective rating during physically demanding lifting tasks. The project will involve protocol design and testing, as well as data collection and analysis. The project will be conducted at the RELab (Balgrist Campus), in close collaboration with Auxivo.
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Master Thesis
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Published since: 2026-05-13 , Earliest start: 2026-08-03 , Latest end: 2027-02-26
Applications limited to ETH Zurich
Organization Rehabilitation Engineering Lab
Hosts Lambercy Olivier, Prof. Dr.
Topics Medical and Health Sciences , Engineering and Technology
Learning Rapid UAV Exploration with Foundation Models
Recent research has demonstrated significant success in integrating foundational models with robotic systems. In this project, we aim to investigate how these foundational models can enhance the vision-based navigation of UAVs. The drone will utilize learned semantic relationships from extensive world-scale data to actively explore and navigate through unfamiliar environments. While previous research primarily focused on ground-based robots, our project seeks to explore the potential of integrating foundational models with aerial robots to enhance agility and flexibility.
Keywords
Visual Navigation, Foundation Models, Drones
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Semester Project , Master Thesis
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Published since: 2026-05-12 , Earliest start: 2026-01-25 , Latest end: 2027-03-31
Organization Robotics and Perception
Hosts Xing Jiaxu
Topics Engineering and Technology
Nature-Derived Microrobots: From Materials to Motion
We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with materials from the nature. Using our developed technique, this project will explore how different shapes influence their control behaviors in bio-fluids. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures.
Keywords
Microrobotics, Fluid Dynamics, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-01
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
Microrobots Made from 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, Inkjet Printing, Soft Materials, Biomedical Devices
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2026-05-11 , Earliest start: 2026-09-14
Organization Multiscale Robotics Lab
Hosts Hu Minghan
Topics Engineering and Technology , Chemistry
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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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
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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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
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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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Mekkattu Manuel , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Insights into the Cellular Bio-Interaction and Biological Effects of Metal–Organic Frameworks
Metal–Organic Frameworks (MOFs) are a versatile class of highly porous materials with tunable structural and functional properties, making them promising candidates for biomedical applications such as drug delivery, imaging, and theranostics.In this project, different MOFs will be synthesized using various metal nodes and organic linkers and their physicochemical properties will be investigated. Based on previous biocompatibility studies performed on different mammalian cell models (immune, epithelial, fibroblast, neural, and cancer cells), the project aims to gain deeper insights into the biological activity of selected MOFs. The interaction between MOFs and cells will be studied through cellular uptake experiments, cytotoxicity evaluation, and analysis of the molecular pathways involved in cell death.
Keywords
Metal-Organic Frameworks (MOFs), Biocompatibility assays, Material characterization techniques, SDS and WesternBlot analysis
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-11 , Earliest start: 2026-05-11 , Latest end: 2027-05-11
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology , Chemistry , Biology
Fine-Tuning Multimodal Reasoning Models for Affordance and Manipulativity Prediction in Robotic Manipulation
This project investigates whether reasoning-oriented multimodal models such as Gemma 4 can be fine-tuned to predict task-relevant affordances and manipulability for robotic manipulation. Given visual observations and high-level instructions, the model will identify actionable object parts, infer their functional suitability, and estimate how effectively a robot can interact with them using its own embodiment. Predictions may include affordance classes, contact regions, or manipulability scores learned from demonstrations, simulation, or robot execution data. These outputs will support interaction selection directly or guide downstream planners and control policies. The approach will be evaluated in simulation and on real robotic platforms to improve task-aware manipulation success in unstructured environments.
Keywords
affordance prediction; robotic manipulation; manipulability; multimodal reasoning; vision-language models; task-aware interaction; object part affordances; embodied AI; contact region prediction; motion planning; robot learning; high-level instruction understanding
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Master Thesis
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Published since: 2026-05-10 , Earliest start: 2026-05-06 , Latest end: 2027-04-08
Applications limited to ETH Zurich , University of Zurich
Organization Robotic Systems Lab
Hosts Zurbrügg René , Werner Lennart
Topics Engineering and Technology
π-petter: Dexterous Lab Automation, Teaching Robots to Pipette
Most labs rely on certified, human-operated processes. Fully automating them from scratch triggers costly re-certification — so the smarter path is to replicate human steps with a robot using the same tools on the same benchtop. Pipetting is one of the most frequent and critical wet-lab tasks: precise, repetitive, and highly sensitive to technique. This thesis builds a robot capable of picking up a standard pipetter, aspirating liquid, dispensing a defined volume repeatedly, and returning the tool — using simulation, foundation models, and sim-to-real transfer rather than hand-crafted automation, making the solution generalizable without re-engineering.
Keywords
Dexterous Lab Automation World Models
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-08 , Earliest start: 2026-08-03 , Latest end: 2027-02-26
Applications limited to Department of Computer Science , Department of Mechanical and Process Engineering
Organization Mobile Robotics Lab
Hosts Iovino Matteo , Schiavi Giulio
Topics Information, Computing and Communication Sciences
Hand Gesture Recognition Using High-Density Surface Electromyography (HD-sEMG)
The project aims to develop machine learning models for real-time hand gesture recognition using high-density surface electromyography (HD-sEMG) signals. This research focuses on improving neuroprosthetic control and rehabilitation by accurately decoding hand movements from HD-sEMG data.
Keywords
HD-sEMG, neuroprosthetics, biosignal monitoring, machine learning, hand gesture recognition, rehabilitation
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ETH Zurich (ETHZ)
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Published since: 2026-05-07
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Gait and Posture Analysis Using Multimodal Data from Smart Walkers
The project aims to develop machine learning models to analyze gait and posture using multimodal data collected from participants using a robotic walker equipped with multiple cameras and inertial sensors. This research focuses on detecting abnormalities in gait patterns and postural control, contributing to the development of rehabilitation and assistive technologies.
Keywords
gait analysis, posture monitoring, smart walker, motion capture, biomechanics, sensor fusion, rehabilitation, inertial sensors
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ETH Zurich (ETHZ)
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Published since: 2026-05-07
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Automated calibration of body-scale contact sensors
Goal: Create a repeatable, precise, and high-throughput robotic experimental setup for characterizing a custom contact sensor. This project is part of a broader effort to enable robots to better perceive whole-body contact and execute dynamic, contact-rich tasks.
Keywords
Robotics, Tactile Sensing, Machine Learning, Automated Calibration, RL, AI, Mechanical Engineering, Manipulation
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Semester Project
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Published since: 2026-05-07 , Earliest start: 2026-05-11 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Baines Robert , Cramariuc Andrei
Topics Information, Computing and Communication Sciences , Engineering and Technology
Smart Grasping: Foundation Models for Adaptive Industrial Part Handling
This thesis project investigates the use of Vision-Language-Action (VLA) foundation models, such as RT-2 and OpenVLA, to automate the handling of diverse metal parts. By leveraging NVIDIA IsaacSim, the research aims to develop a system that autonomously selects the optimal end-effector—ranging from suction cups to parallel grippers—and executes precise manipulation policies trained via deep reinforcement learning. The project concludes with a verified grasping strategy ready for industrial deployment, while exploring the potential of robotic arms as a universal solution for complex part handling.
Keywords
Robotic Grasping, Endeffector Selection, Foundation Models, Vision–Language–Action (VLA), Reinforcement Learning
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Semester Project , Master Thesis
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Published since: 2026-05-07 , Earliest start: 2026-05-05 , Latest end: 2027-01-31
Organization Mobile Robotics Lab
Hosts Hansson Alexander , Brandes Alex
Topics Information, Computing and Communication Sciences
Semantic-aware Global Localization of VTOL drones in GNSS-denied environments
Avientus develops heavy-duty automated drone transport systems for logistics and industry. This project focuses on semantic-aware absolute localization to improve autonomous aerial navigation safety.
Keywords
Place Recognition, Robotics, Computer Vision, Deep Learning, VTOL, Autonomy, Feature Extraction
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Master Thesis
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Published since: 2026-05-07 , Earliest start: 2026-06-01
Applications limited to ETH Zurich
Organization Mobile Robotics Lab
Hosts Freissmuth Leonard
Topics Information, Computing and Communication Sciences
Silver Nanoparticle-Based Platforms for Thermal Modulation and Glucose Sensing in Engineered Muscle Tissues
This project aims to develop silver nanoparticle-based systems as multifunctional, responsive materials for engineered skeletal muscle tissues. The work will explore their use in localized thermal modulation of cellular activity and as embedded sensors for glucose monitoring within tissue constructs. By integrating nanomaterials with biofabricated muscle systems, the project seeks to create advanced platforms for controlled stimulation and real-time metabolic sensing.
Keywords
silver nanoparticles, nanomaterials, thermal modulation, glucose sensing, skeletal muscle tissue, biofabrication, biosensors, nanomedicine, tissue engineering, bio-hybrid systems.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Biology
Programmable Colloidal Crystal Engineering of Magnetoelectric Nanoparticles via DNA Origami
MENPs are an emerging class of multifunctional nanomaterials that exhibit coupled magnetic and electric properties. In this project, MENPs will be synthesized and functionalized with DNA strands to act as programmable building for colloidal crystal assembly. This approach adapts recent advances in DNA-mediated nanoparticle self-assembly, replacing metal–organic frameworks (MOFs) with MENPs to explore new functionalities. Their structural organization will be characterized, and their functional behavior will be investigated. Particular attention will be given to how the intrinsic magnetoelectric properties of MENPs influence collective properties in the assembled state. The project aims to provide insight into the relationship between nanoparticle design, assembly architecture, and emergent material properties, potentially enabling applications in catalysis, sensing, and responsive materials.
Keywords
Magnetoelectric Nanoparticles, Cobalt Ferrite, Barium Titanate,Surface engineering, DNA-programmed colloidal crystals
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-05-06 , Earliest start: 2026-06-01 , Latest end: 2027-05-01
Organization Multiscale Robotics Lab
Hosts Accursi Martina
Topics Engineering and Technology
Encasing Bio-actuators for Real-World Usability of Bio-hybrid Robots
This project aims to develop 3D muscle bioactuators integrated with smart protective encasing systems for operation beyond standard in vitro conditions. Building on existing platforms for thermal regulation and nutrient supply, the project will focus on designing responsive encapsulation strategies capable of adapting to environmental cues, such as pH variations, to regulate exchange with the surroundings. These systems will enable more robust, functional bioactuators for applications in bio-hybrid robotics and translational bioengineering.
Keywords
skeletal muscle, bioactuators, bio-hybrid robotics, stimuli-responsive biomaterials, encapsulation systems, chitosan, pH-responsive materials, biofabrication, tissue engineering
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-06 , Earliest start: 2026-05-06 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Engineering and Technology , Biology
ROS2 Robot Systems and Autonomous Navigation (Student Internship)
Develop the core software and autonomy stack for a new mobile robot platform using ROS2. The project focuses on robot localization, autonomous navigation, system integration, and remote robot operation, with an emphasis on building a reliable and extensible robotics platform for future research and real-world deployment.
Keywords
ROS2, Mobile Robotics, Autonomous Navigation, Localization, SLAM, Path Planning, Robot Systems
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Internship
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Published since: 2026-05-06 , Earliest start: 2026-05-03 , Latest end: 2026-10-31
Applications limited to ETH Zurich , University of Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Constrained Reinforcement Learning for Robot Navigation
This project proposes a Constrained Reinforcement Learning (CRL) framework for social robot navigation that explicitly enforces safety, smoothness, and social-distance constraints. Unlike traditional reward-based RL, the approach integrates multiple constraints and a safety filter to ensure robust and human-compliant navigation across varying crowd conditions.
Keywords
Constrained Reinforcement Learning (CRL) Social Navigation Robot Navigation Safety Constraints Human-Aware Navigation
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Master Thesis
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Published since: 2026-05-05 , Earliest start: 2026-09-01 , Latest end: 2027-04-30
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Learning-based Mapping for Robot crowd-aware Navigation
Learning-based crowd mapping predicts global crowd density and flow from sparse robot observations, enabling crowd-aware global planning beyond local perception. The approach integrates multi-modal priors (e.g., calendars via LLMs) to capture temporal patterns and is validated in simulation and real-world navigation tasks.
Keywords
SLAM Crowd mapping Robot navigation Global planning LLMs Spatio-temporal modeling
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Master Thesis
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Published since: 2026-05-05 , Earliest start: 2026-09-01 , Latest end: 2027-03-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Reinforcement Learning for Crowd-Aware Robot Navigation
This project focuses on improving RL-based social navigation by creating a simulation framework with diverse and realistic human behaviors. Current RL methods often train on simplified crowds where all pedestrians behave similarly, which limits generalization in real-world environments.
Keywords
RL, Robot Navigation
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Master Thesis
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Published since: 2026-05-05 , Earliest start: 2026-09-01 , Latest end: 2027-03-31
Applications limited to ETH Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Hardware & Software Test Setup for Medical Device Incoming Inspection and Verification
Design, build, and document multi-disciplinary test setups: electrical, embedded software, and mechanical; to support incoming component inspections and internal design verification activities for a novel wearable closed-loop vagus nerve stimulation device.
Keywords
Incoming inspection; Hardware-in-the-loop testing; Embedded systems; Test bench design; Electrical characterization; Mechanical verification; Medical device testing; IEC 62304; ISO 13485; Design verification; Test documentation; Wearable devices
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Semester Project , Internship
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Published since: 2026-05-05 , Earliest start: 2026-05-10 , Latest end: 2027-01-01
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Information, Computing and Communication Sciences , Engineering and Technology
Cuffless blood pressure estimation through wearable sensors and AI
This project explores machine learning methods to estimate blood pressure from wearable photoplethysmography signals, progressing from single-site public datasets to multi-site measurements to enhance accuracy through spatial cardiovascular dynamics.
Keywords
blood pressure assessment, biomedical signal analysis, data science, medical technologies, and digital health
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-05-04 , Earliest start: 2026-05-18 , Latest end: 2027-02-28
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr , Dominguez Federico
Topics Information, Computing and Communication Sciences
Programmable Magnetic Microrobots for Targeted Therapies
This Master's thesis (or semester project) will focus on engineering magnetic microrobots for controlled dissolution under in vivo conditions. We will develop and characterize magnetic microrobots based on different hydrogels, compositions, and degrees of crosslinking. The main objective is to tailor the dissolution properties of the microrobots to enable controlled drug delivery and safe clearance from the body after completion of a defined task. Validation of microrobot performance in physiologically relevant environments may include an animal study.
Keywords
Magnetic microrobots, hydrogels, dissolution, drug delivery
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Semester Project , Master Thesis
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Published since: 2026-04-29 , Earliest start: 2026-04-13 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Balgrist Campus , Swiss National Science Foundation , University of Basel , University of Berne , University of Fribourg , University of Lausanne , Wyss Translational Center Zurich , University of Zurich , University of St. Gallen , University of Lucerne , University of Geneva , Sirm Institute for Regenerative Medicine , Institute for Research in Biomedicine
Organization Multiscale Robotics Lab
Hosts Oral Cagatay
Topics Engineering and Technology , Chemistry
Effects of fNIRS-based neurofeedback on working memory
This project investigates the effect of functional near-infrared spectroscopy (fNIRS)-based neurofeedback training on prefrontal brain activity in healthy individuals. You will contribute to data collection and analysis, building on a promising pilot study to validate findings in a larger cohort.
Keywords
functional near-infrared spectroscopy, fNIRS, brain imaging, neurofeedback
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Semester Project , Internship , Lab Practice , Bachelor Thesis
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Published since: 2026-04-26 , Earliest start: 2026-05-04 , Latest end: 2026-07-30
Applications limited to ETH Zurich , University of Zurich
Organization Rehabilitation Engineering Lab
Hosts Pescatore Camille
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
AI-Driven Rock Reshaping Simulation and Control
This project develops an intelligent system for controlling rock fracture by combining finite element analysis (FEM) with machine learning. FEM simulations train a graph neural network (GNN) to predict fracture patterns. A reinforcement learning (RL) agent then uses this predictive GNN to learn optimal actions for guiding fractures towards a desired rock geometry, enabling precise and goal-oriented control.
Keywords
machine learning, deep learning, reinforcement learning, graph neural networks, construction robotics, space robotics
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Semester Project , Master Thesis
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Published since: 2026-04-19 , Earliest start: 2025-07-07
Organization Robotic Systems Lab
Hosts Spinelli Filippo , Gouveia Marina , Spinelli Filippo , Canales Claudio
Topics Information, Computing and Communication Sciences , Engineering and Technology
Estimating Clinical Assessment Scores Using Rehabilitation Robotic Exoskeletons
A 2–3-month internship that supports an ongoing study investigating machine learning approaches to predicting clinical assessment scores using data from an upper extremity robotic exoskeleton. This internship will specifically support further data collection with healthy participants in the ANYexo 2.0 robotic exoskeleton and preliminary data processing for the ML model. The overarching aim of this work is to automatically include the administration of clinical assessments in prescribed active therapy sessions using a robotic exoskeleton.
Keywords
ANYexo, Robotic Exoskeleton, Data Collection, Data Processing, Machine Learning
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Internship , Lab Practice
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Published since: 2026-04-17 , Earliest start: 2026-05-25 , Latest end: 2026-09-27
Applications limited to ETH Zurich , University of Zurich , Zurich University of Applied Sciences , Balgrist Campus , Hochschulmedizin Zürich , Fernfachhochschule , EPFL - Ecole Polytechnique Fédérale de Lausanne , Swiss National Science Foundation
Organization Sensory-Motor Systems Lab
Hosts Thirlwell Florence
Topics Medical and Health Sciences , Engineering and Technology
HASEL-Driven Rotation Drive Design and Testing
Master’s Thesis Opportunity at ETH Zurich We’re exploring a new kind of rotational actuator based on stacked HASEL (Hydraulically Amplified Self-Healing Electrostatic) actuators. The goal is to convert the linear motion of soft actuators into continuous rotation using a new mechanism we have developed. We want to outperform traditional motors in specific power, quiet operation, and adaptability all while eliminating the need for magnets from the motor system. This work will be in collaboration with colleagues at Northeastern University in Boston MA.
Keywords
electrostatic actuators, rotational motors, HASEL
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Master Thesis
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Published since: 2026-04-13 , Earliest start: 2026-05-01 , Latest end: 2027-03-31
Organization Soft Robotics Lab
Hosts Toshimitsu Yasunori
Topics Engineering and Technology
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: 2026-04-03 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Michelis Mike , Katzschmann Robert, Prof. Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Advancing Fluid-Structure Interaction Simulations for Soft Robots
Soft robots are characterized by their ability to continuously deform and adapt to complex environments, making them ideal for tasks in unstructured, dynamic settings. Our lab is developing a cutting-edge soft robot modeling framework that employs FEM and energy-based methods to simulate these robots. Simulating the interactions of these soft robots with their surrounding fluid is crucial for capturing the physics of the robots’ deformation accurately. We have developed a fluid dynamics solver operating on the principle of minimizing energy. The framework now requires thorough benchmarking, optimization for speed, and extension with SRL’s in-house FEM framework for coupling with soft deformable bodies.
Keywords
Fluid Dynamics, Fluid-Structure Interaction, Soft Robot Simulation, Scientific Computing
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-31 , Earliest start: 2026-05-01 , Latest end: 2026-12-31
Organization Soft Robotics Lab
Hosts Dhaker Adamya
Topics Engineering and Technology
Master Thesis: Development of a Customized Knee Orthosis for Osteoarthritis
Osteoarthritis (OA) presents a significant challenge in healthcare, necessitating innovative solutions to alleviate pain, enhance mobility. This thesis documents the research and development journey of an OA knee orthosis within the Spinal Cord and Artificial Intelligence Lab (SCAI-Lab) at ETH Zurich. This thesis is a close collaboration between the ORTHO-TEAM Group and the SCAI-Lab at ETH Zurich. The collaboration offers a unique exchange of expertise and resources between industry and academia. Together, we aim to make meaningful progress in the field of and empower students to make valuable contributions to their academic pursuits.
Keywords
Osteo Arthritis, Orthosis, Biomechanics, AI, Medical Data, Healthcare
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-30 , Earliest start: 2026-03-01 , Latest end: 2026-09-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , University of Basel , University of Berne , Zurich University of Applied Sciences , Università della Svizzera italiana , Hochschulmedizin Zürich , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , CSEM - Centre Suisse d'Electronique et Microtechnique
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Engineering and Technology
Scene graphs meet implicit representations
Explore novel, hierarchical spatial memory representations for flexible robot autonomy
Keywords
Hierarchical scene graphs, implicit representations, RL
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Master Thesis
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Published since: 2026-03-19 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
LLM-based scene graph construction and navigation
Use LLM priors for efficient scene graph construction and navigation in urban environments
Keywords
Open vocabulary scene graphs, urban navigation, planning
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Master Thesis
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Published since: 2026-03-19 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning-based robot state estimation
Achieve high-quality state estimation on any platform via conditioned neural representations
Keywords
Learning-based state estimation
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Master Thesis
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Published since: 2026-03-19 , Earliest start: 2026-03-23
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
Event‑based Temporal Segmentation & Tracking
Event cameras are revolutionary sensors that capture pixel-level illumination changes with microsecond latency, providing significant advantages in high-speed and high-dynamic-range scenarios where traditional cameras suffer from motion blur. Recently, large-scale foundational segmentation models have been successfully adapted to the event domain. However, these current approaches remain constrained to per-frame analysis, treating continuous event streams as isolated, static snapshots and ignoring temporal consistency. At the same time, existing event-based methods for moving object segmentation can isolate motion but fail to maintain instance identity over time—they can segment moving pixels, but they cannot "track" specific objects. This project aims to bridge the gap between static foundational segmentation and dynamic motion analysis by developing the first comprehensive tracker for event cameras. The objective is to design a system capable of not only segmenting arbitrary objects but also maintaining their identity consistently across long, high-speed sequences. The student will extend current spatial feature adaptation strategies to support temporal identity, effectively transforming a frame-by-frame instance segmenter into a robust Video Object Segmentation (VOS) tracker. Furthermore, to handle severe object occlusions and rapid, erratic motion, the project will explore sparse temporal memory mechanisms that prevent identity-switching. Finally, to rigorously test the system's reliability, the student will establish a novel benchmark for dense segmentation in extreme edge cases, such as night driving with severe glare and rapid evasive maneuvers.
Keywords
Event-based Segmentation, Segment and Track Anything, Perception.
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Master Thesis
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Published since: 2026-03-13 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Organization Robotics and Perception
Hosts Pellerito Roberto
Topics Engineering and Technology
Reinforcement Learning with World Models
Explore and develop model-based RL algorithms.
Keywords
Reinforcement Learning, Model-Based RL, World Models
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Master Thesis
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Published since: 2026-03-12 , Earliest start: 2026-04-01 , Latest end: 2026-12-01
Organization Robotics and Perception
Hosts Geles Ismail
Topics Information, Computing and Communication Sciences , Engineering and Technology
Map Quality Evaluation for Reliable Visual SLAM
*Background* Visual SLAM enables mobile robots to localize and build maps of previously unseen environments. In industrial deployments, map quality [1, 2] strongly affects long-term localization robustness and fleet-level performance. A high-quality map is necessary to ensure reliable performance over months of operation and across hundreds of robots. Today, there are no reliable methods to automatically assess a map quality, and manual inspections are still required. Developing a systematic and automated evaluation pipeline would greatly improve fleet monitoring, localization robustness map validation, and in general deepen the understanding of SLAM maps. *Objective* This master thesis aims to establish a principled understanding of what constitutes a high-quality SLAM map and to develop quantitative metrics that capture map reliability and uncertainty. We will design and implement an evaluation pipeline capable of assessing map quality along multiple dimensions, including: -- Global and local consistency: detecting large-scale drift / distortion, but also identify noisy area, with accumulation of outlier landmarks -- Localizability: measuring how effectively a robot can relocalize in different parts of the map. -- Temporal stability: analyzing how map quality evolves as the environment is updated over time. The final outcome will be an integrated map-quality evaluation module embedded within a state-of-the-art commercial SLAM system deployed across hundreds of robots. This module will support both offline map inspection and real-time monitoring.
Keywords
SLAM, Computer Vision, Sevensense, ABB
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-11 , Earliest start: 2026-03-15 , Latest end: 2026-09-01
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization RobotX Center
Hosts Cadena Cesar , Ott Lionel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Spiking Architectures for Advanced Event-Based Temporal Reasoning
This thesis explores novel spiking neural network architectures that leverage event-based vision data and emergent neural synchronization to enable efficient and robust temporal reasoning for dynamic scene understanding and sequential tasks.
Keywords
Spiking Neural Networks (SNNs), Event-Based Vision, Neuromorphic Computing, Temporal Reasoning, Event Cameras, Neural Synchronization, Dynamic Scene Understanding, Gesture Recognition, Robot Navigation, Computational Efficiency, Biological Plausibility
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Master Thesis
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Published since: 2026-03-10
Organization Robotics and Perception
Hosts Zubic Nikola
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Rethinking RNNs for Neuromorphic Computing and Event-based Vision
This thesis develops hardware-optimized recurrent neural network architectures with novel parallelization and kernel-level strategies to efficiently process event-based vision data for real-time neuromorphic and GPU-based applications.
Keywords
Recurrent Neural Networks (RNNs), LSTMs, GRUs, Event-Based Vision, Neuromorphic Computing, Hardware-Aware Optimization, Parallelization, Custom Kernels, GPU Acceleration, Sparse Data Processing, Real-Time Inference, Event Cameras
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Master Thesis
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Published since: 2026-03-10
Organization Robotics and Perception
Hosts Zubic Nikola
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Event Representation Learning for Control with Visual Distractors
This project develops event-based representation learning methods for control tasks in environments with visual distractors, leveraging sparse, high-temporal-resolution event data to improve robustness and efficiency over traditional frame-based approaches.
Keywords
Event-based vision, representation learning, control policies, reinforcement learning, visual distractors, high-dynamic range, motion blur, sparse data, robust perception, locomotion, navigation.
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Semester Project , Master Thesis
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Published since: 2026-03-10
Organization Robotics and Perception
Hosts Zubic Nikola
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Enhancing Long-Range Navigation with VLMs
This project aims to enhance the WildOS [1] navigation framework by integrating a Vision-Language Model (VLM) [2,3] to perform semantic reasoning over a sparse topological graph. While standard WildOS excels at geometric navigation and open-vocabulary object search, it often lacks the high-level context needed to navigate "semantic traps" like dead-ends or complex roadblocks. By storing VLM-generated node summaries and image captions within the graph, the robot can transition from simple pattern matching to logical spatial querying. This allows the agent to interpret the environment's affordances—such as identifying if a path is "blocked by a gate" versus "temporarily obstructed by a person"—to make more informed recovery decisions.
Keywords
Foundation Models, Computer Vision, Navigation, Perception, Vision-Language Models, VLMs, Robotics, ROS, Field Robotics, Machine Learning,
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Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-09 , Latest end: 2026-10-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Patil Vaishakh , Patel Manthan
Topics Information, Computing and Communication Sciences , Engineering and Technology
High-Speed Object Pickup During Quadrotor Flight with Reinforcement Learning
Explore the possibility of catching/picking up an object during high-speed agile flight, with potential application in fast turnaround delivery.
Keywords
Quadrotor flight, RL, drone delivery, robotics
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Semester Project , Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-01 , Latest end: 2026-09-01
Organization Robotics and Perception
Hosts Zhai Yifan
Topics Engineering and Technology
Vision-Based Drone Racing from Raw Pixels with Deep Reinforcement Learning
Explore the possibility of high-speed drone racing using raw RGB camera images only.
Keywords
Drone Racing, RL, perception, sim-to-real, robotics
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Semester Project , Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-01 , Latest end: 2026-09-01
Organization Robotics and Perception
Hosts Zhai Yifan
Topics Engineering and Technology
Observability-and-Perception-aware Planning and Control for Event-Based Object Reconstruction
Design a model-based / learning-based controller that is aware of state observability and sensor perception objectives for object reconstruction using a quadrotor with an egocentric camera.
Keywords
Perception, Active Perception, VIO, 3D Reconstruction, Event Cameras, MPC, Quadrotors
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Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-03-01 , Latest end: 2026-09-01
Organization Robotics and Perception
Hosts Zhai Yifan
Topics Engineering and Technology
(Master Thesis / Internship) - Personalized Low Latency Interactive AI
We are seeking one highly motivated student to join our innovative project focused on developing a cutting-edge voice recognition and personalization platform for wheelchair users. This project aims to deliver low-latency, context-aware, and personalized AI interactions in noisy, multi-user environments using edge devices powered by NVIDIA Orin. The system leverages advanced models and distilled LLMs, combined with biosignal tracking, to provide asynchronous interactions that are well-organized and accessible to doctors, while ensuring user privacy.
Keywords
Voice recognition, AI personalization, low latency, SLMs and distilled LLMs, Edge-Computing, audio processing
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Published since: 2026-03-05 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , CSEM - Centre Suisse d'Electronique et Microtechnique , CERN , Berner Fachhochschule , IBM Research Zurich Lab , Hochschulmedizin Zürich , University of Zurich , Zurich University of Applied Sciences , Lucerne University of Applied Sciences and Arts
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr.
Topics Engineering and Technology
(Master Thesis / Internship) - Video to 3D Pose Estimation & Mesh Recovery to Understand Walking Aids Effects in Cerebral Palsy
In this project, we aim to understand and quantitatively evaluate the use of walking aids through monocular video assessment in children with pathological gait. The objective is to enable clinically relevant decision support in remote or resource-limited settings, where traditional motion capture systems are not readily available. To achieve this, we employ a markerless analysis framework that integrates both \textit{3D pose estimation} and \textit{3D mesh recovery} from monocular video recordings, allowing detailed reconstruction of body kinematics and surface-level body geometry. Using our proposed pipeline, the effects of orthotic devices on gait patterns in children with cerebral palsy (CP) will be evaluated. The framework leverages a CP-specific dataset to benchmark multiple state-of-the-art 2D and 3D pose estimation models, as well as 3D human mesh recovery approaches, in order to determine the most accurate representation of pathological gait. The best-performing models will then be fine-tuned for the CP population, followed by multivariate time-series analysis of joint-level kinematics. This analysis will compare gait characteristics across three conditions: healthy individuals, children with CP without orthosis, and children with CP using orthotic devices, enabling a comprehensive assessment of how assistive devices influence gait biomechanics.
Keywords
3D Pose Estimation, Cerebral Palsy, Gait Analysis, Orthosis, Stable Diffusion, Deep Learning
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-05 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Applications limited to CSEM - Centre Suisse d'Electronique et Microtechnique , CERN , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , IBM Research Zurich Lab , Lucerne University of Applied Sciences and Arts , University of Zurich , Wyss Translational Center Zurich , Zurich University of Applied Sciences , Zurich University of the Arts , Empa , Department of Quantitative Biomedicine , Swiss Institute of Bioinformatics , Università della Svizzera italiana
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences
Mini-muscle gym: Developing a Broad-field Electrical and Mechanical Stimulation Device for Biohybrid Robots
Biohybrid robotics seeks to replace conventional actuator materials with engineered muscle to harness the adaptability and efficiency of biological systems. A major challenge, however, remains the limited force output of engineered skeletal muscle tissues. This project aims to address that limitation through the development of an electrical stimulation system integrated into a muscle-maturation platform ("mini-muscle gym") designed to enhance tissue strength via mechanical and electrical cues. The work will involve circuit and PCB design, implementation within an existing mechanical framework, and close collaboration with tissue engineers to meet biological requirements. The resulting thesis will form an interdisciplinary contribution at the interface of engineering and biology. See attached pdf for further details and references.
Keywords
Biohybrid robotics, soft robotics, circuit design, signal generation, biomaterials, electrical stimulation, mechanical stimulation, actuation, tissue engineering, muscle tissue, muscle cells.
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-03-04 , Earliest start: 2026-03-01 , Latest end: 2026-11-30
Organization Soft Robotics Lab
Hosts Balciunaite Aiste , Paniagua Pablo , Katzschmann Robert, Prof. Dr.
Topics Engineering and Technology
Student projects opportunities at the Medical Robotics Lab
The Medical Robotics Lab led by Prof. Quentin Boehler is actively seeking motivated students to contribute to medical and surgical robotics projects See the full list of proposed projects at: https://mero.ethz.ch/education.html
Keywords
Medical and Surgical Robotics, Minimally Invasive Procedures
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-03-04
Applications limited to ETH Zurich
Organization Multiscale Robotics Lab
Hosts Boehler Quentin
Topics Engineering and Technology
Dynamic and cyclic actuation for improved endoluminal navigation of soft continuum robots
We want to explore the use of dynamic/cyclic motions to improve the navigation of robotic catheters, guidewires or endoscopes for endoluminal procedures. This project aims to build catheter prototypes and an experimental setup to evaluate this concept in vitro using anatomical models and state-of-the-art electromagnetic navigation systems to induce these motions magnetically. Gaining a theoretical understanding on this approach through simulated results can be explored as an alternative or as a complement.
Keywords
Mechatronics, Hardware Design, Programming, Simulation
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Master Thesis
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Published since: 2026-03-04
Applications limited to ETH Zurich
Organization Medical Robotics Lab
Hosts Boehler Quentin
Topics Engineering and Technology
3D reconstruction with open-vocabulary reconstruction priors
Push the limits of arbitrary online video reconstruction by combining the most recent, prior-supported real-time Simultaneous Localization And Mapping (SLAM) methods with automatic backend regularization techniques.
Keywords
Structure from Motion Visual SLAM
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-01 , Earliest start: 2025-07-01
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Event-based feature detection for highly dynamic tracking
Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams.
Keywords
Event camera, neuromorphic sensing, feature detection, computer vision
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Master Thesis
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Published since: 2026-03-01 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Soft object reconstruction
This project consists of reconstructing soft object along with their appearance, geometry, and physical properties from image data for inclusion in reinforcement learning frameworks for manipulation tasks.
Keywords
Computer Vision, Structure from Motion, Image-based Reconstruction, Physics-based Reconstruction
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Master Thesis
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Published since: 2026-03-01 , Earliest start: 2025-03-17
Organization Robotic Systems Lab
Hosts Kneip Laurent
Topics Engineering and Technology
Generalist policies for robotic bike racing
This project addresses the problem of overfitting in autonomous robotic racing by developing generalist reinforcement learning (RL) policies. Conducted in collaboration between the RAI Institute and ETH Zurich, the research focuses on creating robust track embeddings for complex terrains. These embeddings will condition policies for a bike-like ultra-mobile vehicle (UMV), enabling it to autonomously race on previously unknown mountain-bike trails. The ultimate goal is to deploy these policies on physical hardware to achieve competitive, real-world performance via zero-shot transfer or minimal simulation refinement.
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Master Thesis
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Published since: 2026-03-01
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr.
Topics Engineering and Technology
Master Thesis: Autonomous Robotic Cardiac Catheters - Project Abroad at Boston Children's Hospital, Harvard Medical School
We are developing advanced robotic catheter systems to enable precise heart valve repair and the treatment of cardiac arrhythmias. Robotic platforms have the potential to shorten the learning curve for complex beating‑heart procedures and provide a foundation for introducing autonomous functionality. Key elements of this work include the development of autonomous control strategies, integration of therapeutic devices, and comprehensive testing in anatomical and preclinical animal models. Preferred skill sets include experience in robotics, machine learning, control systems, and prototyping.
Keywords
robotic cardiac catheters,valve repair, robotic treatment of arrythmia
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Master Thesis
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Published since: 2026-02-26 , Earliest start: 2026-04-01 , Latest end: 2027-06-01
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Medical and Health Sciences , Engineering and Technology
Master Thesis: Transcatheter Heart Valve Repair and Replacement Devices – Project Abroad at Boston Children's Hospital, Harvard Medical School
Transcatheter interventions offer a less invasive alternative to open-heart surgery by enabling the delivery of therapeutic devices that mimic traditional surgical repair or replacement of cardiac valves. Our work focuses on developing novel tools and devices for both valve repair and valve replacement procedures. These efforts rely on innovative design approaches, creative problem‑solving, and deep expertise in prototyping and experimental evaluation to advance next‑generation transcatheter therapies.
Keywords
transcatheter procedures, heart valve repair, replacement devices
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Published since: 2026-02-26 , Earliest start: 2026-03-01 , Latest end: 2027-01-01
Organization Multiscale Robotics Lab
Hosts Gantenbein Valentin
Topics Medical and Health Sciences , Engineering and Technology
Automatic pain detection and assessment using wearable sensors
We want to improve the state-of-the-art on pain assessment using biomedical signals collected from subjects with induced pain. We aim to develop novel algorithms for pain assessment for low-cost wearable devices.
Keywords
pain assessment, distress detection, biomedical signal analysis, data science, medical technologies, digital health
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Semester Project , Master Thesis
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Published since: 2026-02-25 , Earliest start: 2026-01-15 , Latest end: 2026-10-30
Applications limited to ETH Zurich
Organization Biomedical and Mobile Health Technology Lab
Hosts Dominguez Federico
Topics Information, Computing and Communication Sciences
Real-Time AI for EEG-Based Sleep Staging
We are seeking a highly motivated student to support research on real-time, resource-aware deep learning for EEG-based sleep staging. The project investigates how fundamentally different neural architectures behave under identical real-time streaming conditions, with focus on temporal context modeling, preprocessing strategies, and computational efficiency.
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Published since: 2026-02-23 , Earliest start: 2026-03-01
Organization Sensory-Motor Systems Lab
Hosts Dey Sharmita
Topics Engineering and Technology
Exploring Exotic Wheels For Wheeled-Legged Robots
Wheeled-legged robots combine the advantages of wheels, i.e., efficient high-speed locomotion, with obstacle negotiation and rough terrain capabilities of legs. In this study, different exotic wheel concepts should be researched, evaluated, and possibly implemented on a real robot to potentially boost efficiency, manipulation, and functionality.
Keywords
Wheeled-Legged Robots, Wheels, Robotics, Mechanical and Hardware Design, Manipulation, Tires
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-02-18
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Hierarchical Reasoning Models (HRM) for Robotics
How to properly deal with long-horizon tasks is still an unsolved problem in robot learning. Recent advances in reasoning models present Hierarchical Reasoning Models (HRM), inspired by the hierarchical and multi-timescale processing in the human brain. This fairly open project should implement and test state of the art solutions for long horizon planning that require reasoning in the context of robotics, especially robotics motion control.
Keywords
Robot learning, hierarchical reasoning, machine intelligence, long-horizon planning
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-02-18
Organization Robotic Systems Lab
Hosts Klemm Victor
Topics Information, Computing and Communication Sciences , Engineering and Technology
Regulatory-Compliant Medical Device Packaging Design & Prototyping
Design and prototype a regulatory-compliant, brand-aligned packaging solution for a medical device. The work includes translating needs into packaging requirements, cross-checking existing box label content against applicable regulatory documentation and standards in collaboration with the QMS (e.g., MDR/ISO), iterating visual/branding design, and building physical mock-ups (including some 3D printing). Material selection and pricing/supplier comparisons may be performed to ensure the solution is scalable and manufacturable.
Keywords
Medical device packaging; Labeling compliance; EU MDR; ISO standards; QMS; Prototyping; 3D printing; Branding & graphic design; Material selection; Cost comparison; Manufacturability; Documentation
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Published since: 2026-02-13 , Earliest start: 2026-02-22 , Latest end: 2026-09-30
Organization Rehabilitation Engineering Lab
Hosts Viskaitis Paulius
Topics Arts , Medical and Health Sciences , Engineering and Technology , Commerce, Management, Tourism and Services , Chemistry
Master’s Thesis with Unitree G1 Humanoid
If you’re looking for a Master’s thesis and are interested in working with the Unitree G1 humanoid robot, feel free to reach out to check whether we currently have an available project. Possible thesis topics include modern learning-based methods such as Reinforcement Learning (RL), Vision-Language-Action approaches (VLAs), and related techniques for humanoid robotics. If you already have a specific project idea in mind, you’re also very welcome to contact us to discuss it. Please note that, due to high demand within ETH, thesis projects in this area are currently restricted to students enrolled at ETH.
Keywords
Humanoid Robot, Reinforcement Learning, VLA
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Master Thesis
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Published since: 2026-02-10
Applications limited to ETH Zurich
Organization Mobile Robotics Lab
Hosts Bosshart Micha , Näf Joshua , Hansson Alexander
Topics Information, Computing and Communication Sciences
Simulator-Based Study of Camera Monitor Systems for Pedestrian Detection in Mobile Machinery
This project will develop and use a high-fidelity simulator to study how professional mobile-machine operators use Camera Monitor Systems (CMS) to detect pedestrians in hazardous zones. The student will help design and run an experimental study in which operators complete realistic trenching tasks using a virtual excavator while monitoring CMS feeds for pedestrians and responding to hazards. The data will then be used to develop a machine learning (ML) model that can predict safety performance and inform future CMS design.
Keywords
virtual reality; simulator study; Unity; eye-tracking; machine learning for safety and health;
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Published since: 2026-02-06 , Earliest start: 2025-12-10 , Latest end: 2026-10-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin , Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
3D Bioprinting of Neurotized and Disease-Model Skeletal Muscle Tissues: Focus on Duchenne Muscular Dystrophy
This project aims to develop advanced 3D bioprinted skeletal muscle models with functional innervation, including neurotized healthy muscle tissues and in vitro models of Duchenne muscular dystrophy (DMD). Using state-of-the-art biofabrication strategies, the project will generate physiologically relevant muscle constructs suitable for functional characterization and pharmacological testing. These platforms are intended to support both fundamental research on neuromuscular interactions and translational studies for drug evaluation.
Keywords
3D bioprinting, skeletal muscle tissue, innervation, neuromuscular junctions, Duchenne muscular dystrophy, disease modeling, pharmacological testing, biofabrication, biomaterials, tissue engineering.
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Semester Project , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2026-02-05 , Earliest start: 2026-02-05 , Latest end: 2026-11-30
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Engineering and Technology , Biology
Building AI-assisted algorithms for robust motion monitoring with smart clothing after re-wearing
The aim of this project is to use machine learning methods to improve smart clothing motion tracking when sensors shift between sessions and wears without fully retraining the model.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, machine learning, artificial intelligence, domain adaptation, deep learning
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Published since: 2026-01-23 , Earliest start: 2026-02-01 , Latest end: 2027-03-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Custom Wireless Readout Circuit for Triboelectric Nanogenerator (TENG) Sensing and Energy Harvesting
This project aims to design and realize a custom single-PCB wireless readout circuit optimized for triboelectric nanogenerators (TENGs). Unlike previous designs that relied on assembling multiple commercial off-the-shelf PCBs, this project will integrate the functionalities of signal conditioning, energy harvesting, and wireless data transmission onto one compact, low-power circuit board.
Keywords
TENG, energy harvesting, wireless circuits, PCB design, low-power electronics, sensors
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Published since: 2026-01-14 , Earliest start: 2026-02-01 , Latest end: 2026-09-30
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Development of Wireless Ion Sensing Platforms using Metamaterials and Soft Biointerfaces
This project explores the design and realization of a flexible, wireless ion-sensing patch by integrating resonant metamaterial structures with bio-interfacing soft materials. The system is intended for noninvasive detection of physiologically relevant ions from skin-interfaced fluids using passive sensing mechanisms
Keywords
flexible electronics, metamaterials, wireless biosensors, resonant sensors, skin-compatible interfaces
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-23 , Earliest start: 2026-01-15 , Latest end: 2026-10-29
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Codesign of shape and control: A study in autonomous perching
We aim to co-design a controller and the shape of a glider for a perching maneuver, involving deployment on the real system.
Keywords
optimal control, shape design, global optimization, MPC, reinforcement learning, fluid dynamics, glider, UAV
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Master Thesis
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Published since: 2025-12-22 , Earliest start: 2025-10-01 , Latest end: 2027-03-31
Organization Robotics and Perception
Hosts Reiter Rudolf
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Evolutionary Optimization Meets Differentiable Simulation
The goal is to investigate how the latest differentiable simulation strategies push the limits of learning real-world tasks such as agile flight.
Keywords
robotics, machine learning, computer vision, differentiable simulation, numerical optimization, reinforcement learning, control systems, UAV, drones
Labels
Semester Project , Master Thesis
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Published since: 2025-12-22 , Earliest start: 2026-01-01 , Latest end: 2026-08-01
Organization Robotics and Perception
Hosts Reiter Rudolf
Topics Information, Computing and Communication Sciences , Engineering and Technology