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Project Objective:
This project aims to develop a new method to integrate depth perception into robots.
Specifically we are tackling the task of navigation and locomotion for our legged robot ANYmal.
Instead of training RL policies from scratch, we would like to understand the potential performance impacts by using self-supervised training, e.g. using DINO, for monocular depth images. The training may consist of leveraging existing datasets and focuses on learning a useful representation that includes not only geometric hints but potentially also semantic information from depth analog to the recent advantages achieved using RGB images.
- Computer Hardware, Computer Perception, Memory and Attention, Computer Software, Computer Vision, Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Production of an electrochemical sensor using flame-made nanoparticles for the detection and quantification of specific health biomarkers to enable non-invasive diagnosis and self-monitoring. - Engineering and Technology
- Bachelor Thesis, Semester Project
| This project aims to develop different action recognition models for assembly tasks and compare the effects of depth information and/or hand/object poses. A further investigation could be utilizing synthetic data to train the model, which can significantly improve the adaptation ability. It could be extended to a publication if the progress is good. - Computer Vision, Engineering and Technology
- Master Thesis, Semester Project
| The scale-up of extrusion processes like high-moisture extrusion from small bench-top extruders to large industrial-scale extruders remains challenging. This is especially true for high-moisture extrusion since the structuring mechanisms in the cooling die connected to the extruder have not been fully understood to date.
We are looking for a candidate who is highly motivated to work in a collaborative project with industry that aims at a better understanding the scale-up of high-moisture extrusion for plant-based meat analogs. The definition of structural parameters to quantify the quality of meat analogues is of particular interest. The project will rely on a close collaboration with the whole ETH team and the industry partners Bühler and ThermoScientific.
Our rheology and scalable extrusion platforms will serve as the fundamental toolbox for the project. - Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis
| This thesis aims to develop a dexterous robot assembly system. Given components randomly put on the table and the final target, the goal is to generate physics-based motions to grasp the components and put them in the right place with the right order. Specifically, it will utilize reinforcement learning (RL) to train low-level skills (grasping, relocating, dropping) in physics simulation, and use large language models (LLMs) as a high-level planner.
- Computer Vision, Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Prosumer communities leverage and share locally generated energy. In response to the Swiss Energy Strategy 2050 and potential gas supply vulnerabilities, transitioning from singular, gas/oil-reliant energy systems to multi-energy networks is imperative. Unlike conventional individual systems where devices are often oversized and underutilized due to being designed for demand peaks, a prosumer community can optimize device use, reducing both energy costs, investment overheads and ecological impact. Therefore, when properly designed and operated, prosumer communities mitigate the inefficiencies typical of traditional setups. However, achieving optimal design is challenging due to complex interactions among stakeholders. The economic and ecological aspects of prosumer communities need to be thoroughly investigated taking into account different scenarios, energy demands and building types. This project aims to investigate various case studies for prosumer communities in the Swiss scenario and explore the technological solutions that mostly benefit from energy sharing. - Mechanical and Industrial Engineering
- Master Thesis, Semester Project
| Do you care about the environment? Help to fight water pollution? Make a real-world impact with your research? If so, then we have an exciting opportunity for you. In this project, you will learn about modern imaging, machine learning and data analysis in a multidisciplinary team that is developing technology to protect the environment. - Applied Hydrology (Drainage, Flooding, Irrigation, Quality, etc.), Computer Vision, Image Processing
- Master Thesis, Semester Project
| In this semester thesis, our goal is to enable an F1Tenth car, an autonomous vehicle at 1:10 scale of a Formula 1 car, to accurately detect its designated driving lane using RGB-D images captured by an onboard camera. - Computer Vision, Intelligent Robotics
- Semester Project
| This project aims to innovate material development by utilizing a round swage forging machine to produce novel alloys and composites. The focus is on producing rods and wires that meet the size specifications for Ultrasonic Plasma Atomizer (UPA) and Directed Energy Deposition (DED) technologies. The project involves designing tool sets for precise forging, producing new aluminum alloys by mixing Al and Ti powders, and potentially integrating carbide powders to enhance material properties. Key objectives include mastering small-scale wire and rod production, understanding aluminum extrusion and alloying processes, and demonstrating the ability to manipulate material hardness. - Alloy Materials, Manufacturing Engineering
- Bachelor Thesis, Semester Project
| 12-lead electrocardiograms (ECGs) are still solely documented on paper in many hospitals, especially in the Global South. These physical paper records provide a multitude of conditions recorded in many different countries. Our lab has access to a dataset with more than 8000 patient’s ECG photos / scans of 12-lead signals printed onto physical paper sheets. The dataset comprises 12-lead ECG image records from more than 35 hospital sites across Europe. The primary objective of this project is to develop an automated digitization pipeline from raw image scan in .png format towards 12 vectorized ECG time series in WFDB format. - Computer Vision, Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
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