ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)
The Neural Control of Movement Lab (NCM) at ETH Zürich is looking for a 3 months internship student to work on a behavioural project investigating intuitive physical inference in humans. Intuitive physics refers to our ability to intuitively predict physical outcomes (e.g., where and how fast an object will fall, how stable a pile of objects is), which allows us to interact with the world effectively.
- Educational Psychology, Neurosciences, Psychology
- Internship, Lab Practice, Semester Project
Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Nowadays, defect preparation is commonly performed using surgical curettes, which has several drawbacks. We are investigating the use of laser ablation for more precise, controlled, and contactless tissue preparation. A workflow and container for sterile laser ablation of tissue has been designed and validated. However, several limitations have been identified. Your task will be to design and manufacture a new sterile ablation container addressing these issues, to adapt the overall sterile ablation workflow, and to validate your design in a sterile laser ablation experiment.
- Biomedical Engineering, Mechanical Engineering
- Master Thesis
Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Removing the defected cartilage is commonly done with surgical curettes. We are investigating the use of laser ablation for a more precise defect preparation process. With two different lasers, we managed to obain promising results regarding cell viability in live samples. However, laser parameters such as pulse frequency and energy need to be optimized towards higher cutting efficiency. Your task will be to prepare a setup to test, optimize, and validate various parameter sets using different lasers for articular cartilage ablation.
- Biomedical Engineering, Optical Physics
- Master Thesis
Leveraging recent success in data-driven approaches, this project aims to learn policies that combine visual and haptic information for inserting arbitrary objects into a dishwasher rack robustly. The project with be conducted under joint supervision from Intel Research and Robotic Systems Lab.
- Intelligent Robotics, Knowledge Representation and Machine Learning
- Master Thesis
Can a robotic manipulator perform a diverse set of tasks? Can it achieve so based on purely natural language description (e.g., “pick up the apple”, “unfold the cloth”). Can the learned policy generalize well to unseen tasks? In this project, we aim to tackle these problems by developing a language-conditioned multi-task policy for robotic manipulators.
- Engineering and Technology, Information, Computing and Communication Sciences
- Semester Project
Recently, a reinforcement learning based locomotion controller presented great performance and robustness in the wild environment. Even though it showed its robustness, it still lacks the capability of using real-world experience. This project aims at bridging this gap by making the robot learn from the data taken in the field.
- Engineering and Technology
- Master Thesis
Traditional legged robots are capable of traversing challenging terrain but lack energy efficiency and speed when compared to wheeled systems. We propose a novel framework that enables a legged robot equipped with powered wheels to perform hybrid locomotion.
- Electrical and Electronic Engineering, Information, Computing and Communication Sciences, Mechanical and Industrial Engineering
- Collaboration, ETH Organization's Labels (ETHZ), Internship, Lab Practice, Master Thesis, Semester Project
This project aims to develop and test a closed-loop neuroprosthetic for a non-invasive sensory system that employs transcutaneous electrical stimulation (TENS) for sensory feedback restoration in individuals with diabetic peripheral neuropathy (DPN). The system will encompass a AI-calibration algorithm for the calibration of neurostimulation parameters and the optimization during walking. This algorithm will be able to identify the optimal combination of electrodes and stimulation parameter to deliver a somatotopic and natural sensory feedback. The system will require a user friendly interface for calibration and for real time feedback and functional tasks. The system will be tested in a long term trial encompassing functional tasks and fMRI experiment to evaluated the motor response.
- Biomedical Engineering, Information Systems, Interdisciplinary Engineering, Neurosciences
- Master Thesis, Semester Project
The goal of the project is to develop a sensor to monitor pressure which potentially lead to ulceration in the human body. The sensors developed in this project would be based on textiles to enable everyday non-invasive use.
- Biomedical Engineering, Medical and Health Sciences
- Master Thesis
In this project, we focus on continuous and quantitative monitoring of activities of daily living (ADL) in SCI patients with the goal of identifying cardiovascular events and PI-related risk behaviors.
ADLs specific to SCI patients and their lifestyles shall be discussed and narrowed down in the scope of this work, therefore an autonomous camera-based system is proposed to classify ADLs.
The Current work builds on a previous project where a SlowFast network  was trained to identify SCI-specific classes and we aim to further improve the classification and temporal resolution for transferring to wearables' time-series data.
- Computer Vision, Health Information Systems (incl. Surveillance), Knowledge Representation and Machine Learning
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis, MD