ETH ZurichAcronym | ETHZ | Homepage | http://www.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | ETH Zurich | Child organizations | | Members | | Memberships | | Partners | |
Open OpportunitiesReinforcement 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
| 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
| The objective of this project is to create a comprehensive robotic platform capable of autonomously administering injections into the human eye. The project includes mechanical design, motion planning, and the implementation of a force control algorithm. - Mechanical and Industrial Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, 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. - Intelligent Robotics
- Master Thesis, Semester Project
| This project aims at automatically learning problem-dependent uncertainty sets by exploiting available data on the uncertain parameters, hence surpassing the limitations of traditional methods such as robust and stochastic optimization approaches that assume the exact knowledge of the support set and of the probability distribution respectively. - Information, Computing and Communication Sciences, Optimisation, Systems Theory and Control
- Master Thesis, Semester Project
| Bühler, a leading industry manufacturer in Uzwil, is partnering with ETH Zürich's Feasibility Lab to offer a unique master thesis opportunity. Throughout your thesis, you'll work hand-in-hand with a team of like-minded peers, following the principles of cross-functional teamwork and agile project planning. You can explore your interests in AI/Machine Learning, Robotics, UX, Additive Manufacturing, Food Science and more and actively define your own project scope. - Digital Systems, Environmental Technologies, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| While camera-based capture systems remain the gold standard for recording human motion, learning-based tracking systems based on sparse wearable sensors are gaining popularity. Most commonly, they use inertial sensors, whose propensity for drift and jitter have so far limited tracking accuracy. Ultra-wideband (UWB) is a radio technology that offers precise ranging capabilities and is integrated into modern smart devices such as iPhones and Apple AirTags. Our recent work, Ultra Inertial Poser, accepted by SIGGRAPH'24, has shown great potential to combine IMU with UWB sensors to constrain drift and jitter in inertial tracking via inter-sensor distances. As we are in the early stages of development, there is still significant room for improvement in the methodology. In this project, we aim to design a deep learning model to improve our dataset's human motion tracking results.
Note: This project will focus on developing a novel supervised learning-based method. We have a clean and synchronized dataset ready (UIP-DB) for training and testing alongside ground-truth tracking data for all joints. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Evaluation of different inverter topologies and different modulation schemes using a multi-objective optimization procedure for a given target drive system. Optimization with respect to different objectives, e.g., efficiency, power density, costs. An existing toolchain provides a framework which can serve as a starting basis for your models and optimization algorithms. Analysis and validation of the design based on vehicle drive cycles. - Electrical Engineering
- Master Thesis
| This project aims to investigate different energy storage technologies for application in the railway sector. - Electrical Engineering
- Master Thesis, Semester Project
| This project aims to analyse the implementation of a smart grid starting from the traditional railway electric grid. - Electrical Engineering
- Master Thesis, Semester Project
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