IDEA LeagueAcronym | IDL | Homepage | http://www.idealeague.org/ | Country | [nothing] | ZIP, City | | Address | | Phone | | Type | Alliance | Current organization | IDEA League | Child organizations | | Members | | Partners | |
Open OpportunitiesModel Predictive Control (MPC) is extensively utilized in industry and academia. However, designing an optimal cost function and constraints for achieving the best closed-loop performance remains an open challenge. This project seeks to bridge this gap by framing the problem as a policy optimization problem and solving it through the application of gradient-based optimization schemes. - Electrical Engineering
- Master Thesis, Semester Project
| Abstract
Reinforcement learning (RL) has achieved remarkable performance in various domains such as gaming, protein folding, and foundation models. However, efficiently applying RL to real-world applications like go-kart racing and urban driving presents significant challenges due to high-dimensional environments and the lack of structured task decomposition. This thesis proposes addressing these challenges through prioritized rewards and hierarchical task decomposition. By incorporating prioritized experience replay and dynamic reward shaping, the learning process focuses on critical experiences, enhancing efficiency. Hierarchical RL will break down complex tasks into manageable sub-tasks for better strategic planning and execution. The goal is to develop robust and adaptable RL agents capable of high performance in both racing and urban driving scenarios. The student will select a specific application domain, define benchmarks, and potentially conduct real-world testing. The outcomes are expected to contribute significantly to robotics research, with potential publications in top conferences and journals. Pre-requisites include a strong interest in machine learning, RL, optimization, robotics, and proficiency in Python. Prior experience in autonomous vehicles or robotics is a plus. - Automotive Engineering, Intelligent Robotics, Knowledge Representation and Machine Learning
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Non-healing wounds are a significant medical challenge, and tissue engineering offers a promising solution for skin regeneration. This project aims to accelerate skin graft production for severe wound healing by focusing on the mechanobiology of human dermal fibroblasts. Understanding how cells sense and react to stimuli will allow us to create conditions that promote cell proliferation. In this project we will particularly focus on hydrostatic pressure and stiffness. To apply and measure the effects of these stimuli, bioreactors are essential tools. They enable the cultivation of cells in a controlled environment while applying various stimuli, including hydrostatic pressure and stiffness. The goal of this thesis is to design a bioreactor from scratch and optimize its parameters based on experimental findings related to cell proliferation rates. By tailoring the bioreactor conditions, we can affect cell proliferation. - Mechanical Engineering
- Bachelor Thesis, Master Thesis
| In this project, we are going to develop a vision-based reinforcement learning policy for drone navigation in dynamic environments. The policy should adapt to two potentially conflicting navigation objectives: maximizing the visibility of a visual object as a perceptual constraint and obstacle avoidance to ensure safe flight. - Engineering and Technology
- Master Thesis
| Recent research has demonstrated significant success in integrating foundational models with robotic systems. In this project, we aim to investigate how these foundational models can enhance the vision-based navigation of UAVs. The drone will utilize learned semantic relationships from extensive world-scale data to actively explore and navigate through unfamiliar environments. While previous research primarily focused on ground-based robots, our project seeks to explore the potential of integrating foundational models with aerial robots to enhance agility and flexibility. - Engineering and Technology
- Master Thesis, Semester Project
| This project aims at developing a machine learning approach (for example, using convolutional neural networks) for localizing and tracking anatomical landmarks from cardiac MR images. - Biomedical Engineering, Electrical and Electronic Engineering
- 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
| Cutting-edge tools play a pivotal role in manufacturing processes, enduring wear and damage while consistently producing series of components. Maintaining an optimal cutting-edge geometry is crucial to uphold the quality of finished products over time. Additionally, sustaining the micro-geometry of the cutting edge is key to enhancing the lifespan of the tool and ensuring top-notch cutting performance. Profin addresses this challenge with Flakkotting, a novel surface finishing process designed explicitly to create and preserve the required micro-geometry.
The aim of this thesis is to develop the understanding of Flakkotting process and develop prediction model for process parameters for a given micro-geometry. The dynamics of flakkotting tools on Tungsten Carbide drills and cutting-edge inserts will be studied with varying parameters using high-speed imaging and microscopic analysis. Using the parameter data and evaluated workpieces, machine learning (ML) models will be developed for prediction of micro-geometry features and optimization of process based on the required micro-geometry. - Computer Vision, Image Processing, Manufacturing Engineering, Mechanical Engineering, Pattern Recognition, Statistics
- Bachelor Thesis, Internship, Master Thesis
| The project focuses on identifying distinct object instances (such as tables and chairs) within 3D reconstructions of indoor environments. - Computer Vision
- Master Thesis, Semester Project
| In these projects, the student will work on developing CLI/GUI tools that can facilitate workflow construction. This effort will be based on the established AiiDA WorkChain class, as well as the recently developed WorkGraph approach. - Software Engineering
- Master Thesis, Semester Project
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