Student Projects
Student Projects by Associated Institutes
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
Human-centered development and evaluation of a personalized communication tool for a user with severe motor and visual impairments
This project aims to develop an assistive communication system for a user with severe motor and visual impairments who currently relies on a slow, caregiver-dependent spelling method. The intended solution combines an audio-based scanning interface with a custom physical input device, enabling more efficient and independent letter or word selection. Designed through an iterative, human-centered process, the system is tailored to the user’s specific needs while remaining accessible and easy to use for caregivers and other secondary users.
Keywords
human-centered design; assistive technology; human-computer interaction; accessibility; personalization;
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Master Thesis
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Published since: 2026-03-23 , Earliest start: 2026-04-01
Organization Rehabilitation Engineering Lab
Hosts Gassert Roger, Prof.
Topics Engineering and Technology
Humanoid Forceful Interaction
Developing a robust RL method for whole-body behaviors in forceful Human-Object Interaction
Keywords
Human-Object Interaction (HOI), Forceful Manipulation, Whole-Body Control (WBC), Reinforcement Learning
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Semester Project , Master Thesis
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Published since: 2026-03-20 , Earliest start: 2026-04-13 , Latest end: 2026-10-31
Organization Robotic Systems Lab
Hosts Fuchioka Yuni
Topics Information, Computing and Communication Sciences
Building Authentic Articulated Assets from Real-world Footage
Zero-shot sim assets creation with fine-grained articulation
Keywords
Simulation, 3D reconstruction
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Published since: 2026-03-19 , Earliest start: 2026-03-14
Applications limited to ETH Zurich , University of Zurich
Organization Robotic Systems Lab
Hosts Chen Changan , Sun Boyang
Topics Information, Computing and Communication Sciences
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
RAI Project: Ultra Mobile Parkour
This project pushes the limits of robotic agility through Ultra-Mobile Parkour. Moving beyond basic walking, we are developing agents that don’t just "navigate" obstacles — they conquer them. By leveraging high-fidelity simulations and Deep Reinforcement Learning (DRL), we aim to bridge the gap between static movement and high-velocity "flow."
Keywords
UMV, RL, parkour, reinforcement learning, ultra mobile, agile, research, robotics, wheeled, dynamic
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Master Thesis
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Published since: 2026-03-12
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich
Organization Robotic Systems Lab
Hosts Jenelten Fabian, Dr.
Topics Information, Computing and Communication Sciences
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
Exploring upper limb impairments using explainable AI on Virtual Peg Insertion Test data
This thesis aims to apply explainable AI techniques to analyze time series data from the Virtual Peg Insertion Test (VPIT), uncovering additional metrics that describe upper limb impairments in neurological subjects, such as those with stroke, Parkinson's disease, and multiple sclerosis. By preserving the full dimensionality of the data, the project will identify new patterns and insights to aid in understanding motor dysfunctions and support rehabilitation.
Keywords
Machine learning, rehabilitation, neurology, upper limb, impairment, explainable AI, SHAP, novel technology, assessment, computer vision, artificial intelligence
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Master Thesis
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Published since: 2026-03-09 , Earliest start: 2026-04-01
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , RWTH Aachen University , Stanford University , Harvard
Organization Rehabilitation Engineering Lab
Hosts Domnik Nadine
Topics Medical and Health Sciences , 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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Semester Project , Internship , Master Thesis
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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
Localization of minimally-invasive surgical robots in interventional MRI
This project investigates intraoperative tracking methods for soft continuum robots to enable closed-loop control during minimally invasive procedures performed under Magnetic Resonance Imaging (MRI) guidance. The work focuses on evaluating the performance of tracking markers in in‑vitro phantoms and exploring strategies that support real-time pose estimation and control of the robotic device.
Keywords
Medical/Surgical Robotics, Medical Imaging, Hardware Design, Tracking
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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
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
Simulation environment for the analysis and control of magnetic continuum robots with programmable stiffness and magnetization
We want to study the kinematics and evaluate control paradigms for magnetic soft continuum robots with adjustable stiffness and magnetization, for applications to minimally invasive procedures. This project aims to build a numerical environment to simulate these robotic systems, and iterate on their design parameters and actuation inputs.
Keywords
Robotics, Simulation, Kinematics, Control, Programming
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Semester Project , 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
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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Master Thesis
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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
Development and deployment of a LabVIEW-independent control solution for a robotic haptic device
As part of the class "Physical Human Robot Interaction (pHRI)", the Rehabilitation Engineering Lab developed a haptic paddle for students to learn basics of robotics for rehabilitation. In this project, the software currently controlling the device (i.e., LabVIEW) will be replaced and re-coded in another language, and the hardware will be adapted accordingly.
Keywords
Control, robotics, microcontrollers, embedded systems, LabVIEW, haptics, rehabilitation engineering
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Published since: 2026-02-25 , Earliest start: 2026-03-02 , Latest end: 2027-01-01
Applications limited to ETH Zurich
Organization Rehabilitation Engineering Lab
Hosts Berthet Mathieu
Topics Medical and Health Sciences , Engineering and Technology
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
Three Degrees of Freedom, Parallel Mechanism-Based Leg Mechanisms and Fabrications
Design and fabricate a novel three-degree-of-freedom parallel-kinematics robotic leg that enables highly dynamic behaviors. The project focuses on manufacturable mechanism design, integrated actuators, and linear-drive architectures, resulting in a hardware platform for future legged robotics research and control studies.
Keywords
robotics, mechanical engineering, hardware, reinforcement learning, learning from demonstration, Parallel Mechanisms, Actuator Design, Legged Robotics, Intelligent Robotics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-02-23 , Earliest start: 2026-03-01 , Latest end: 2026-12-31
Organization Robotic Systems Lab
Hosts Tanaka Yusuke , Baines Robert
Topics Information, Computing and Communication Sciences , 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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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
Large Scale Triangle Splatting
Imagine capturing an entire city from a moving car and turning it into a high-fidelity, interactive 3D world, one that doesn't just look real, but can be dropped directly into a game engine or a physics simulator. This project bridges the gap between cutting-edge AI reconstruction and the traditional graphics pipeline. You will build DiskChunTS, a system designed to reconstruct city-scale environments using Triangle Splatting. By adapting chunk-based memory management, we can stream massive datasets directly from disk, bypassing hardware limits.
Keywords
Gaussian Splatting, Robotics, Reconstruction
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Master Thesis
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Published since: 2026-02-13 , Earliest start: 2026-02-16
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Organization Robotic Systems Lab
Hosts Speciale Pablo , Wilder-Smith Max , Patil Vaishakh
Topics Information, Computing and Communication Sciences
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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Semester Project , Internship , Bachelor Thesis , Master Thesis
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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
Continuous blood pressure measurements
We aim to measure in a few exemplary patients to assess whether a phase of hyperventilation precedes a syncopal event.
Keywords
cardiovascular rehabilitation; signal processing; patient measurements
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Published since: 2026-02-12 , Earliest start: 2026-02-15 , Latest end: 2026-12-31
Applications limited to Berner Fachhochschule , ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , University of Zurich , University of Lucerne , University of Lausanne , University of Fribourg , University of Berne , University of Basel , Zurich University of Applied Sciences , Zurich University of the Arts , Lucerne University of Applied Sciences and Arts , Hochschulmedizin Zürich
Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
RL Finetuning for Generalized Locomotion
This project investigates the potential of reinforcement learning (RL) fine-tuning to develop a single, universal locomotion policy for quadruped or humanoid robots. Building on prior work in multi-terrain skill synthesis [1], we will probe the limits of generalization by systematically fine-tuning on an ever-expanding set of diverse environments. This incremental approach will test the hypothesis that a controller can learn to robustly navigate a vast range of terrains. As a potential extension, procedural terrain generation may be used to automatically create novel challenges, pushing the boundaries of policy robustness.
Keywords
Reinforcement Learning, Locomotion, Quadruped, Humanoid
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Master Thesis
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Published since: 2026-02-11 , Earliest start: 2026-02-01
Organization Robotic Systems Lab
Hosts Schwarke Clemens , He Junzhe
Topics Information, Computing and Communication Sciences
Low-Voltage Electrohydraulic Actuators for Untethered Robots
We are building the next generation of HALVE (Hydraulically Amplified Low-Voltage Electrostatic) actuators which are flexible, electrostatic actuators that operate at voltages 5–10× lower than traditional soft electrostatic systems. You will help us explore novel actuator geometries, ultra‑thin functional layers, and new fabrication and modeling techniques to unlock scalable, energy‑efficient soft robotic systems.
Keywords
soft robotics, low-voltage actuation, dielectric elastomers, electrostatic actuators, PVDF‑TrFE‑CTFE, dielectric spectroscopy, vapor deposition, CNC sealing, LTSpice, mechatronics, materials science
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-02-10 , Earliest start: 2026-02-28 , Latest end: 2026-12-11
Organization Soft Robotics Lab
Hosts Albayrak Deniz , Hinchet Ronan
Topics Engineering and Technology
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
Power Electronics Design and Magnetic Levitation Control
This project aims to push the boundaries of electromagnetic navigation systems. While these systems are primarily designed for clinical medical applications, we are deploying them for high-performance remote magnetic levitation. The goal is two-fold: optimizing the hardware drivers and exploring advanced dynamic control applications.
Keywords
PCB design, power electronics, electromagnetic levitation, feedback control
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Semester Project , Master Thesis
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Published since: 2026-02-09 , Earliest start: 2026-02-10
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics Engineering and Technology
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
Machine learning for Motion Estimation and Fatigue Monitoring Using Triboelectric Nanogenerators
This project explores the feasibility of using triboelectric nanogenerators (TENGs) for joint angle analysis and fatigue monitoring during repetitive human movements using machine learning and deep learning.
Keywords
machine learning, artificial intelligence, generative AI, triboelectric nanogenerator, joint angle estimation, motion analysis, fatigue
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Published since: 2026-02-05 , Earliest start: 2025-09-01 , Latest end: 2026-08-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
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
Model Compression using the Information Bottleneck Principle for Medical AI and wearable devices
This project investigates the use of the Information Bottleneck (IB) theory as a framework for deep neural network compression, aiming to enhance the deployment of medical AI systems in computationally constrained environments. By quantifying and optimizing the trade-off between information preservation and redundancy, this project explores how IB-based compression can maintain model accuracy while significantly reducing computational load — enabling efficient and scalable medical image segmentation and classification in healthcare applications.
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Keywords: machine learning, artificial intelligence, medical AI, information bottleneck, information theory, theoretical machine learning, model compression, deep learning, information theory, U-Net, Vision Transformer (ViT), wearable devices
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Master Thesis
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Published since: 2026-02-05 , Earliest start: 2026-01-25 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Information, Computing and Communication Sciences , Engineering and Technology
Multimodal ADHD-Biomarker Study – AI Precision Medicine
Join a paediatric neuroimaging study at ETH Zurich and University Hospital Zurich that aims to improve ADHD diagnosis. You will work with cutting-edge brain imaging technology from the ReLab bringing wearable neuroimaging from the lab to real-world clinical care. The study combines fNIRS (functional near-infrared spectroscopy), EEG, and motion sensing to identify objective biomarkers for ADHD – moving beyond symptom checklists toward personalized psychiatry.
Keywords
ADHD, fNIRS, EEG, neuroscience, signal processing, Python, MATLAB, clinical research
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Published since: 2026-01-30 , Earliest start: 2026-02-02 , Latest end: 2026-09-30
Organization Rehabilitation Engineering Lab
Hosts Schönhammer Josef
Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive 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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Published since: 2026-01-28 , Earliest start: 2026-04-13 , Latest end: 2026-09-30
Organization Multiscale Robotics Lab
Hosts Oral Cagatay
Topics Engineering and Technology , Chemistry
Learning 3D-Aware Locomotion with Depth Foundation Model
Learning 3D-Aware Locomotion with Depth Foundation Model
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Master Thesis
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Published since: 2026-01-27 , Earliest start: 2026-01-27
Organization Robotic Systems Lab
Hosts Zhang Chong , Schwarke Clemens , Patel Manthan
Topics Information, Computing and Communication Sciences
Pull or push? Unifying mobile manipulation skills for a quadrupedal manipulator
This thesis will focus on unifying multiple different mobile manipulation skills into a single controller for mobile manipulation with a quadrupedal manipulator
Keywords
mobile manipulation, robotics, control, reinforcement learning, quadrupedal manipulation
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Master Thesis
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Published since: 2026-01-26 , Earliest start: 2026-02-01
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Dadiotis Ioannis
Topics Information, Computing and Communication Sciences , Engineering and Technology
Gaussian Splatting Super Resolution
Radiance fields like 3D Gaussian Splatting enable fast, high-fidelity scene reconstruction from real-time data. However, reconstruction quality improves in noticeable stages—e.g., coarse at 500 epochs, detailed at 5000. This project explores whether AI-based upscaling and denoising techniques can be used to predict and accelerate these improvements during training. By anticipating reconstruction quality transitions, we aim to reduce training time while maintaining visual fidelity—advancing the efficiency of radiance field learning.
Keywords
Gaussian Splatting, Computer Vision, Reconstruction
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Published since: 2026-01-26 , Earliest start: 2025-11-01 , Latest end: 2026-07-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Patil Vaishakh , Wilder-Smith Max
Topics Information, Computing and Communication Sciences
BEV meets Semantic traversability
Enable Birds-Eye-View perception on autonomous mobile robots for human-like navigation.
Keywords
Semantic Traversability, Birds-Eye-View, Localization, SLAM, Object Detection
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-26
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Organization Robotic Systems Lab
Hosts Gawel Abel
Topics Information, Computing and Communication Sciences , Engineering and Technology
Crowd Simulation for RL 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: 2026-01-26 , Earliest start: 2026-09-01 , Latest end: 2026-09-30
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Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Scene graphs for robot navigation and reasoning
Elevate semantic scene graphs to a new level and perform semantically-guided navigation and interaction with real robots at The AI Institute.
Keywords
Scene graphs, SLAM, Navigation, Spacial Reasoning, 3D reconstruction, Semantics
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-26
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Organization Robotic Systems Lab
Hosts Gawel Abel , Kneip Laurent
Topics Information, Computing and Communication Sciences , Engineering and Technology
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
Development of a soft actuator characterization platform for medical applications
Development of a soft 3d printed characterization platform to evaluate the use of soft electrostatic actuators for soft robotic medical applications.
Keywords
Electrostatic actuator, 3d printing, Soft Robotics, hydraulic system
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ETH Zurich (ETHZ)
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Published since: 2026-01-20 , Earliest start: 2026-02-01 , Latest end: 2026-12-31
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Organization Soft Robotics Lab
Hosts Katzschmann Robert, Prof. Dr. , Albayrak Deniz , Hinchet Ronan
Topics Engineering and Technology
Perceptive Arm Motion Planning and Control for Heavy Construction Machine Tasks
In this work we would utilize reinforcement learning, neural network actuator modeling, and perception for the control and arm motion planning of a 40ton excavator with a free-swinging gripper. The project will be in collaboration with Gravis Robotics, ETH spinoff working on the automation of heavy machinery.
Keywords
reinforcement learning, perception, hydraulics, excavator, manipulation, industry
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Semester Project , Collaboration , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-18 , Earliest start: 2025-07-07
Organization Robotic Systems Lab
Hosts Egli Pascal Arturo , Terenzi Lorenzo , Spinelli Filippo , Spinelli Filippo
Topics Information, Computing and Communication Sciences , Engineering and Technology
Industrial Design of a Medical Robotic Platform for Autonomous Eye Injections
The purpose of this project is to enhance an existing robotic platform capable of autonomously delivering injections into the human eye. Rather than starting from zero, the student will build upon substantial prior research. The project’s primary focus is on industrial design—making the system both visually appealing and suitable for clinical settings. This includes collaborating with external manufacturers for casting and production, resulting in a polished, user-friendly device for healthcare professionals.
Keywords
Industrail Design, Mechanical Design, Medical Robotics
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-01-16 , Earliest start: 2026-01-26
Organization Multiscale Robotics Lab
Hosts Zughaibi Jasan
Topics 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
Engineered Magnetic Core-Shell Microswimmers: Coupled Shape and Susceptibility Optimization for Precise Actuation.
Recent advancements in medical robotics have significantly enhanced precision and innovation in healthcare, indicating a new era of minimally invasive procedures that reduce patient complications and discomfort. In particular, the development of robots constructed from biocompatible materials with elastic moduli similar to soft biological tissues offers substantial promise for biomedical applications, as their inherent mechanical compliance improves safety during procedures. This project aims to fabricate double-compartment, soft, tether-free magnetic microrobots and to investigate their locomotion strategies. Critical parameters, including shell thickness, shape and magnetic anisotropy, will be examined in detail. Finally, the prototypes will be navigated and evaluated in vitro using a silicone model.
Keywords
Nanoparticles, Iron Oxide, Hydrogel, Magnetic Navigation, Anisotropy, Template-assisted fabrication, Alignment.
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-09 , Earliest start: 2026-01-18 , Latest end: 2026-08-31
Applications limited to ETH Zurich , Empa
Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Medical and Health Sciences , Engineering and Technology , Physics
Machine Learning for Authentication of Individuals Using Biometrics Data
This thesis develops unique data labels based on ML techniques for individual authentication using biometric data collected during the task of making a painting. By analyzing dynamic biometric patterns and applying computational modeling to painting motions, the study assesses the potential for distinguishing individuals. This thesis advances methods for recognizing data ownership in Generative AI systems.
Keywords
Biometric markers, data modeling, machine learning, authentication, genAI
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Master Thesis
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Published since: 2026-01-08 , Earliest start: 2026-02-15 , Latest end: 2026-12-31
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Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Engineered Growth:Solvothermal Synthesis of Zinc-Substituted Iron Oxide Nanoparticles for Medical Applications.
Iron oxide nanoparticles (NPs) have garnered substantial interest within the scientific community due to their broad applicability in biomedical engineering, including drug and gene delivery systems, as well as in diagnostic imaging. This interest is primarily attributed to their favorable properties, such as high saturation magnetization and low cytotoxicity. Among the various iron oxides, magnetite (Fe3O4) is of interest in this thesis. It exhibits an inverse spinel crystal structure, which significantly influences its magnetic behavior. Doping magnetite with zinc ions (Zn2+) has been demonstrated to enhance the material’s magnetic performance by increasing saturation magnetization. In this project we aim to perceive the key parameters, which influence the growth kinetics of the Zinc-substituted NPs. In particular, elemental composition together with the NPs size distribution will be analysed via TEM-EDX, crystallinity and phase identification will be achieved via XRD and magnetic properties measured with the help of VSM. As a result, by the end of the project, we shall be able to control size, shape and magnetic properties of the synthesized NPs. Finally specifically designed Zinc-substituted NPs will be utilized and tested for the medical application.
Keywords
Nanoparticle, Iron oxide, Solvothermal synthesis, Doping, Nanomagnetism
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-01-08 , Earliest start: 2026-01-11 , Latest end: 2026-08-31
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Organization Multiscale Robotics Lab
Hosts Pustovalov Vitaly
Topics Engineering and Technology , Earth Sciences , Chemistry , Physics
Combined Muscle and Nerve Tissue Engineering
Engineered muscle tissues have applications in regenerative medicine, drug testing, and understanding motion. A key challenge is restoring neuromuscular communication, especially in treating volumetric muscle loss (VML). This project aims to create functional neuromuscular constructs with biomimetic innervation. Scaffolds will be made using electrospun fibers, conductive materials, and drug-loaded graphene. Muscle and nerve cells derived from iPSCs will be seeded into these scaffolds. Constructs will be tested for motion, drug response, and integration in bio-hybrid robotic systems. The platform will advance muscle-nerve regeneration, drug testing, and bio-hybrid robotics.
Keywords
Tissue engineering, innervation, neural tissue, nerve, muscle tissue, scaffold, iPSCs, muscle cells, bioprinting, biofabrication, biohybrid robotics, soft robotics, 3D printing, biomaterials, electrical stimulation, actuation.
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Semester Project , Master Thesis
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Published since: 2026-01-07 , Earliest start: 2026-01-01 , Latest end: 2026-10-31
Organization Soft Robotics Lab
Hosts Filippi Miriam
Topics Medical and Health Sciences , Engineering and Technology , Biology
Urban Robot Navigation with Scene Graphs and Foundation Models
Solve key challenges of urban scene representations and enable robots to navigate to goals with language instructions using advanced perception capabilities of foundation models
Keywords
Navigation, Scene Representation, Vision Language Models, Robot Learning
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Master Thesis
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Published since: 2026-01-06 , Earliest start: 2026-01-01 , Latest end: 2026-08-31
Applications limited to ETH Zurich
Organization Robotic Systems Lab
Hosts Huang Chenguang , Kneip Laurent
Topics Information, Computing and Communication Sciences
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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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
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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
PEGASUS – Retrospective Analysis of Trunk Muscle Strength in Athletes
The aim of this project is to investigate retrospective isometric trunk strength data collected with the PEGASUS 3D dynamometer at the Schulthess Clinic, Zurich. The project offers practical experience in applied sports biomechanics using a large athlete trunk-strength dataset among elite and sub-elite performance-levels and different kinds of sports.
Keywords
sports science, biomechanics, trunk strength, retrospective analysis, athlete profiling
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Published since: 2025-12-19 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
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Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Trunk Strength Assessment Methods
This project aims to develop a concise, decision-oriented guideline for selecting trunk strength assessment methods for clinical and sports-science settings, based on a structured narrative evidence synthesis.
Keywords
trunk strength, assessment methods, dynamometry, field tests, reliability, validity, feasibility, clinical measurement, sports performance, decision guideline
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Published since: 2025-12-19 , Earliest start: 2026-09-15 , Latest end: 2027-03-31
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Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Neural Quadrotor Dynamics
This project leverages the Neural Robot Dynamics (NeRD) framework to build a high-fidelity, high-speed neural simulator for a quadrotor UAV. Rather than relying solely on classical rigid-body dynamics and hand-crafted aero/actuation models, we will train a neural network to replace key low-level simulation components (e.g., unmodeled dynamics, actuator response, residual forces), enabling faster rollouts without sacrificing accuracy. The simulator will be fine-tuned on real flight logs to learn a vehicle-specific model and reduce the sim-to-real gap. Thanks to the model’s differentiability, the resulting engine also supports differentiable simulation (DiffSim) for gradient-based system identification, trajectory optimization, and policy learning. Ultimately, we aim to accelerate training of advanced flight control policies and improve zero-shot transfer by matching simulation to the target platform’s true dynamics. Applicants should be comfortable with control and learning for dynamical systems, have ML experience (e.g., JAX/PyTorch), and be proficient in C++ and Python.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to University of Zurich , ETH Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
Topics Engineering and Technology
Drone Racing Meet Differentiable simulation
In this project, we investigate how DiffSim (differentiable simulation) can accelerate learning for drone racing by enabling end-to-end gradient-based training with Backpropagation Through Time (BPTT). Instead of relying solely on sample-inefficient trial-and-error, we use a differentiable simulator to propagate learning signals through the drone dynamics and control pipeline over time, allowing the controller to improve from trajectories much more efficiently. Our objective is to develop a training framework that learns high-speed, gate-to-gate racing behaviors in significantly less wall-clock time, while maintaining stable and agile flight. Applicants should be comfortable with control and learning for dynamical systems, have machine learning experience (e.g., Jax, PyTorch), and be proficient in C++ and Python.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to University of Zurich , ETH Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
Topics Engineering and Technology
Vision-Based Drone Control with Structured Networks & Symmetry
Vision-based reinforcement learning controllers can achieve impressive drone flight performance, but training them is often slow and data-hungry because standard networks must re-learn the same behaviors across equivalent viewpoints and orientations. In this project, we will speed up vision-based drone control policy learning by using structured (symmetry-aware / equivariant) neural networks that encode physical and geometric symmetries directly into the policy. By enforcing these structure constraints, the controller can generalize better across rotations and scene variations, improving sample efficiency and sim-to-real transfer. Applicants should have a solid understanding of reinforcement learning, machine learning experience (Jax, PyTorch), and programming experience in Python and C++.
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Semester Project , Master Thesis
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Published since: 2025-12-19 , Earliest start: 2026-01-05 , Latest end: 2026-09-01
Applications limited to ETH Zurich , University of Zurich
Organization Robotics and Perception
Hosts Ren Yunfan
Topics Engineering and Technology
Assessing the acute and long-term effects of an app intervention on stress using multimodal wearable data
This project investigates changes in stress levels over the course of a longitudinal app-based intervention, as well as acute physiological responses during app use. A wide range of physiological signals were recorded using wearable devices to comprehensively capture autonomic regulation and correlates of stress.
Keywords
electrocardiography (ECG), electrodermal activity (EDA), photoplethysmography (PPG), respiration, electroencephalography (EEG), smart-watch, wearable devices, machine learning, artificial intelligence, signal processing, data analysis, stress, sleep
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2026-01-05 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Luster Alexandre
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning Robust Agile Flight via Adaptive Curriculum
This project focuses on developing robust reinforcement learning controllers for agile drone navigation using adaptive curricula. Commonly, these controllers are trained with a static, pre-defined curriculum. The goal is to develop a dynamic, adaptive curriculum that evolves online based on the agents' performance to increase the robustness of the controllers.
Keywords
Reinforcement Learning, Drones
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Semester Project , Master Thesis
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Published since: 2025-12-15 , Earliest start: 2023-11-01 , Latest end: 2024-12-31
Organization Robotics and Perception
Hosts Xing Jiaxu
Topics Engineering and Technology
Vision-based Navigation in Dynamic Environment via Reinforcement Learning
In this project, we are going to develop a vision-based reinforcement learning policy for drone navigation in dynamic environments. The policy should adapt to two potentially conflicting navigation objectives: maximizing the visibility of a visual object as a perceptual constraint and obstacle avoidance to ensure safe flight.
Keywords
Reinforcement Learning, Computer Vision, Drones
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Master Thesis
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Published since: 2025-12-15 , Earliest start: 2023-11-01 , Latest end: 2024-12-31
Organization Robotics and Perception
Hosts Xing Jiaxu
Topics Engineering and Technology
Embedded Software Validation Tests for a novel medical device
This project develops a software validation framework and automated test bench to verify the firmware safety and fault-tolerance of an IMU-driven, non-invasive vagus nerve stimulation device. The work focuses on ensuring that the embedded firmware consistently enforces stimulation safety limits, maintains deterministic control-loop timing, and responds correctly to sensor faults and abnormal system conditions. Through simulated IMU inputs, controlled fault injection, and automated stimulation-output monitoring, the project provides structured evidence of safe firmware behavior across normal and stressed operating scenarios.
Keywords
Firmware, embedded, medical device,
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Semester Project , Internship , Master Thesis
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Published since: 2025-12-11 , Earliest start: 2026-01-01 , Latest end: 2026-09-01
Organization Rehabilitation Engineering Lab
Hosts Donegan Dane , Viskaitis Paulius
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Surgical HDR Imaging with an Event Camera (in collaboration with Balgrist)
Surgical environments present an extreme HDR challenge, causing standard cameras to lose critical detail due to overexposure. This project introduces a neuromorphic sensor fusion framework integrating RGB sensors with asynchronous event cameras to overcome these limitations. By exploiting the event camera's superior dynamic range ($>120$ dB) and temporal resolution, our method recovers texture and motion in saturated areas. The result is robust HDR reconstruction and low-latency tracking that outperforms traditional optical image enhancement techniques, ensuring reliable computer vision performance in harsh intraoperative lighting. This project is conducted at RPG and Balgrist under the supervision of Prof. Dr. Fürnstahl.
Keywords
Sensor Fusion, High Dynamic Range (HDR), Surgical Computer Vision
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Semester Project , Master Thesis
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Published since: 2025-12-09 , Earliest start: 2026-01-01 , Latest end: 2026-12-19
Organization Robotics and Perception
Hosts Pellerito Roberto
Topics Information, Computing and Communication Sciences
Vision-Based Tactile Sensor for Humanoid Hands (in collaboration with Soft Robotics Lab)
Humanoid robots require tactile sensing to achieve robust dexterous manipulation beyond the limits of vision-based perception. This project develops an event-based tactile sensor to provide low-power, high-bandwidth force estimation from material deformation, with the goal of integrating it into a human-scale robotic hand.
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Semester Project , Master Thesis
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Published since: 2025-12-09 , Earliest start: 2026-01-05 , Latest end: 2026-12-01
Organization Robotics and Perception
Hosts Pellerito Roberto
Topics Mathematical Sciences , 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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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-09 , 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: 2025-12-09 , 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: 2025-12-09 , 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
Vision-Based Reinforcement Learning in the Real World
We aim to learn vision-based policies in the real world using embedded optimization layers within reinforcement learning.
Keywords
Robotics, Model Predictive Control, Computer Vision, Reinforcement Learning
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Master Thesis
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Published since: 2025-12-08 , Earliest start: 2025-05-01 , Latest end: 2026-02-01
Organization Robotics and Perception
Hosts Reiter Rudolf
Topics Information, Computing and Communication Sciences , Engineering and Technology
Multistable robotic tensegrities for dynamic shape-shifting
This thesis will combine robotic hardware prototyping with rigorous first principles-based modeling. The goal: tap into tensegrities’ nonlinear properties, such as multistability and instability, to realize robotic modules (bodies, arms, legs, etc.) that form the basis of dynamic shape-shifting systems.
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Master Thesis
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Published since: 2025-12-04 , Earliest start: 2026-01-01 , Latest end: 2026-08-01
Organization Robotic Systems Lab
Hosts Baines Robert
Topics Information, Computing and Communication Sciences , Engineering and Technology
Reinforcement Learning for Excavation Planning In Terra
We aim to develop a reinforcement learning-based global excavation planner that can plan for the long term and execute a wide range of excavation geometries. The system will be deployed on our legged excavator.
Keywords
Keywords: Reinforcement learning, task planning
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-09-30
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Perceptive Generalist Excavator Transformer
We want to develop a generalist digging agent that is able to do multiple tasks, such as digging and moving loose soil, and/or control multiple excavators. We plan to use a decoder only GPT model, trained on offline data and potentially online RL as posttraining, to accomplish these tasks.
Keywords
Offline reinforcement learning, transformers, autonomous excavation
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-10-31
Organization Robotic Systems Lab
Hosts Werner Lennart , Terenzi Lorenzo , Nan Fang
Topics Information, Computing and Communication Sciences
Reinforcement Learning for Particle-Based Excavation in Isaaclab / Newton
We want to train RL agents on our new particle simulator, accelerated on the GPU via warp in Isaaclab and Newton.
Keywords
particle simulation, omniverse, warp, reinforcement learning
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-01 , Latest end: 2026-07-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Information, Computing and Communication Sciences
Self-Supervised LiDAR–RGB Encoders for Autonomous Earthworks
This project adapts recent self-supervised 3D and 2D–3D representation learning methods (Sonata/Concerto-style encoders) to build a robust LiDAR–RGB backbone for earthmoving robots. The goal is a reusable encoder that powers perception for excavation, loading, traversability, and safety on real construction sites, and runs in real time on our robots.
Keywords
LiDAR–RGB fusion, Self-supervised learning, 2D–3D representations, Earthmoving robotics, Perception
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-08-31
Organization Robotic Systems Lab
Hosts Terenzi Lorenzo
Topics Engineering and Technology
Event-based Perception for Autonomous Driving
This project explores how event-based sensing can enhance perception for autonomous driving systems. It investigates the integration of asynchronous, high-temporal-resolution visual signals with conventional sensing modalities to improve robustness, latency, and reliability under challenging real-world conditions.
Keywords
Event cameras, neuromorphic vision, autonomous driving, real-time sensing, robustness, event-based vision
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Semester Project , Master Thesis
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Published since: 2025-11-13 , Earliest start: 2025-11-11
Organization Robotics and Perception
Hosts Zou Rong
Topics Information, Computing and Communication Sciences
Motion Segmentation with Neuromorphic Sensing
This project investigates how neuromorphic vision can enhance motion understanding for mobile systems. By leveraging high-temporal-resolution sensing from event cameras, it aims to reliably separate ego-motion from independently moving objects for improved perception and navigation.
Keywords
Event cameras, neuromorphic vision, motion estimation, motion segmentation, dynamic scenes, mobile perception, event-based vision
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Master Thesis
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Published since: 2025-11-13 , Earliest start: 2025-11-11
Organization Robotics and Perception
Hosts Zou Rong
Topics Information, Computing and Communication Sciences
Evaluating Engagement and Adherence to Robot-Assisted Rehabilitation: Can Large Language Model-Based Conversational Agents Support Stroke and TBI Patients During Unsupervised Therapy?
Stroke and traumatic brain injury (TBI) are major causes of long-term disability, often requiring intensive rehabilitation to restore motor function, particularly in the hands. While robotic-assisted therapy and mobile health (mHealth) applications offer promising tools for recovery, sustaining patient engagement outside clinical environments remains a significant challenge. This project explores the use of the RehabCoach app and ReHandyBot device in a hybrid rehabilitation program (i.e., two weeks in-clinic followed by six weeks of unsupervised home therapy). The focus is on collecting and analyzing conversational data between patients and the app’s large language model (LLM)-based conversational agent to evaluate how these interactions influence therapy adherence and engagement.
Keywords
Stroke rehabilitation, traumatic brain injury, mobile health, conversational AI, large language models, therapy adherence, unsupervised rehabilitation
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Semester Project , Master Thesis
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Published since: 2025-11-11 , Earliest start: 2025-11-16 , Latest end: 2026-09-30
Organization Rehabilitation Engineering Lab
Hosts Retevoi Alexandra
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences