Max Planck ETH Center for Learning Systems| Acronym | MPG ETH CLS | | Homepage | http://learning-systems.org/ | | Country | [nothing] | | ZIP, City | | | Address | | | Phone | | | Type | Alliance | | Current organization | Max Planck ETH Center for Learning Systems | | Members | |
Open OpportunitiesRhythmic Movement Disorder (RMD) is a condition characterized by repetitive movements, such as rocking or head-banging, that typically occur during sleep or drowsiness. These movements can cause significant disruptions to sleep, as well as physical injuries. Conventional treatments for RMD include behavioral therapy, medications, and improving sleep hygiene. Novel treatment approaches also suggest the use of stimulus substitution, e.g., from a hammock or rocking bed such as the Somnomat Casa (developed at the Sensory-Motor Systems Lab).
Despite the prevalence and impact of RMD, there is currently a lack of research on effective methods for quantifying and monitoring the severity of the disorder.
In this project, we want to develop and validate a system for quantifying RMD movements using one or more body-mounted IMU sensors. The goal is to provide a reliable and objective measure of RMD episodes, which can be used to quantify the disorder and monitor the effectiveness of potential treatments. - Biosensor Technologies, Clinical Engineering, Engineering/Technology Instrumentation, Paediatrics, Rehabilitation Engineering, Sensory Systems, Therapies and Therapeutic Technology
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Vestibular stimulation induced by rocking beds has been shown to improve sleep architecture and sleep consolidation, shorten sleep onset time, and generate deeper sleep. However, due to the complexity of previous rocking beds, rocking was only applied in lab settings for a few nights only. The Somnomat Casa developed at our lab is a rocking bed for use in private home settings over long periods that provides translational vestibular stimulation in longitudinal direction.
Our most recent Somnomat Casa is already very smooth and comfortable to use. However, we still see potential in improving the actuation of the bed. To arrive at an optimal motor choice, we now want to encapsulate the actuation unit of the bed and compare different motors using various metrics.
The goal of this project is the design and development of a simple testbench that accepts a motor + gear + clutch configuration and records metrics on applied torques, current consumption, smoothness of the motion, noise emission, torque response on dynamic loads, etc. - CAD/CAM Systems, Control Engineering, Electrical Engineering, Engineering/Technology Instrumentation, Mechanical Engineering, Robotics and Mechatronics, Safety and Quality
- Internship, Master Thesis, Semester Project
| Inspired by the microorganism in nature, the varied motor patterns can be mimicked in the microrobot, which has better performance in mobility and functionality. In this project, the student will develop the transformable helical microrobot using photolithography. Then, she/he will analyze the design parameters' effect on the shape morphing and motor pattern; furthermore, the student needs to discuss different surface properties' impact on the microrobot. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| The goal of this project is to design an end-effector that would allow the quadrupedal robot ALMA to assemble wooden shingle envelopes. An end-effector prototype is already available, but it should be optimized to enable its integration on a mobile manipulator. - Engineering and Technology
- Semester Project
| Our lab is developing an avatar for motion guidance during post-stroke home therapy. This project aims at investigating the impact of the visual rendering of the avatar, on the motor response of the subjects. - Biomechanical Engineering, Rehabilitation Engineering
- Internship, Master Thesis, Semester Project
| Biodegradable materials can be used for the microrobots, which could will an essential aspect of the inner-body robot. And the materials combining stimulus-responsive and biodegradability will contribute a lot to medical robot applications like drug delivery, inspection, etc., so we would like to find a material that could combine these two properties into our robot. - Mechanical Engineering, Nanotechnology, Polymers
- Bachelor Thesis, Master Thesis, Semester Project
| The project can be conducted exclusively at cefir (please visit cereneo.foundation for further information) or in collaboration with ETH ReLab, depending on your project requirements. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Clinical Sciences, Human Movement and Sports Science, Interdisciplinary Engineering, Neurosciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Peripheral neuropathy affects approximately 2% of the population (e.g. linked to diabetes, MS, chemotherapy, antibiotics…), resulting in motor and somatosensory impairments and pain (numbness, tingling, burning, stabbing) in peripheral body segments, primarily the feet. Sensory stimulation and mechanical mobilization of the foot/toes have been shown to positively affect pain and balance in peripheral neuropathy. The Rehabilitation Engineering Lab at ETH has pioneered technology for the assessment and therapy of somatosensory hand function, applied in stroke, CP and MS. The goal of this project is to transfer and validate this technology in foot peripheral neuropathy. - Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| To advance the field of legged robots in low-gravity space applications, team SpaceHopper (https://spacehopper.ethz.ch/) plans to conduct a testing campaign on a parabolic flight in late 2023. For this test campaign, the robot needs to be equipped with a new battery concept that complies with the safety requirements on a ZeroG flight. - Aerospace Electrical Systems, Electrical Engineering, Mechanical Engineering
- Bachelor Thesis, Semester Project
| The ability to detect obstacles on the vehicle's path is crucial for developing autonomous vehicles, such as trains or cars. Detecting objects early enough and, therefore, at a long range is crucial, especially for heavy vehicles like trains. It is helpful to know where the train tracks and other infrastructure elements are for vision-based systems. Rather than using machine learning approaches, which require extensive labeled training data and long inference times, one could reproject a known railway map into the camera view. Estimating the camera's exact position and rotation relative to the vehicle, and achieving a good alignment, is the challenge here. - Computer Vision, Image Processing, Mechanical Engineering, Pattern Recognition
- Semester Project
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