Department of Mechanical and Process EngineeringAcronym | D-MAVT | Homepage | http://www.mavt.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | Department of Mechanical and Process Engineering | Child organizations | |
Open OpportunitiesDrying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Global Health Engineering is a group composed of environmental and mechanical engineers, economists and social scientists. Our work is transdisciplinary and all research focuses on engineering aspects of environmental and human health in resource-constrained countries. We look for a student research assistant to continue developing (hardware+software) the low-cost sensors for biogas composition and flow measurements, as well as program other tasks, e.g., web scraping for scientific grant management. - Electrical Engineering, Environmental Technologies, Mechanical Engineering
- ETH for Development (ETH4D) (ETHZ), Student Assistant / HiWi
| We currently want to (i) elaborate the added value of a campus board that records the forces per limb, (ii) determine grasping phases for kinematic analyses of the phalanges more pragmatically than with 6DoF sensors, and (iii) drive forward a competition analysis based purely on video material. - Biomedical Engineering, Human Movement and Sports Science
- Internship, Semester Project
| Reaching and grasping an object of interest is a relatively simple
task that can be achieved robustly in case the object is equipped
with a simple handle and a visual marker. However, often the difficulty in the task originates from the rest of the environment.
The object may be placed in cluttered spaces with diverse obstacles
as well as dynamic entities, e.g. humans, other robots. As a result,
executing the task of reaching and grasping the object necessitates
collision-free motion control capabilities. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
| The process of evaluating sleep examinations and diagnosing sleep disorders through polysomnographies (PSGs) is labor-intensive as it requires manual analysis from sleep technicians and doctors. In collaboration with Clinic Barmelweid, a leading sleep and rehabilitation clinic in northwestern Switzerland, we plan to automate this process using machine learning models. Clinic Barmelweid conducts approximately 400-450 PSGs annually and has access to a dataset of more than 5,000 recordings. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Medical and Health Sciences
- Collaboration, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Walking has been proven to create the best sense of presence while exploring
virtual environments. However, walking in virtual environments comes with the
constraint that the virtual and the physical space must have the same
dimensions. This limitation restricts the size of the virtual spaces. Various techniques have been developed to overcome this issue, such as RDW and impossible spaces. Although significant progress has been made with these methods, exploring large virtual environments can still lead the user to reach the boundaries of the physical space. Therefore, a safety mechanism is needed to prevent the user from colliding with the walls. The most popular safety mechanism is having resets, which are messages displayed to the user asking them to stop and perform a certain action that turns them away from the wall before continuing the exploration. However, resets reduce immersion and thus should be avoided as much as possible. - Computer-Human Interaction
- Bachelor Thesis, ETH Zurich (ETHZ), Semester Project
| Our aim is to create an autonomous racing system capable of swiftly learning optimal racing strategies and navigating tracks more effectively (faster) than traditional methods and human drivers using RL.
- Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This thesis aims to utilize deep learning techniques to analyze eye-tracking data during a goal-directed upper limb task, particularly focusing on participants under the influence of alcohol. The objective is to develop digital health metrics that can elucidate differences in movement planning. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Reinforcement learning (RL) can potentially solve complex problems in a purely data-driven manner. Still, the state-of-the-art in applying RL in robotics, relies heavily on high-fidelity simulators. While learning in simulation allows to circumvent sample complexity challenges that are common in model-free RL, even slight distribution shift ("sim-to-real gap") between simulation and the real system can cause these algorithms to easily fail. Recent advances in model-based reinforcement learning have led to superior sample efficiency, enabling online learning without a simulator. Nonetheless, learning online cannot cause any damage and should adhere to safety requirements (for obvious reasons). The proposed project aims to demonstrate how existing safe model-based RL methods can be used to solve the foregoing challenges. - Engineering and Technology
- Master Thesis
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