Department of Information Technology and Electrical Engineering| Acronym | D-ITET | | Homepage | http://www.ee.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | Department of Information Technology and Electrical Engineering | | Child organizations | |
Open OpportunitiesRobotic automation represents mankind’s next leap. While the industry has already embraced robotization, robot driven domestic aid is only at the beginning of the revolution. Dealing with unconstrained daily environments is more challenging than automating manufacturing production lines. The growing diffusion of semi-autonomous assistive quadrupedal robots that can handle obstacles triggered the change. Nonetheless, robot control still requires active human supervision, which can be tedious in ordinary surroundings or even impossible in clinical circumstances. - Electrical Engineering
- Computer Vision (PBL), Master Thesis, Robotics (PBL), Software (PBL)
| 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
| In this project, we will work on proposing accurate and efficient PTQ algorithms for the SAM family. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| In this project, we aim to develop novel and efficient model compression algorithms to enable the deployment and inference of large language models on resource-constrained hardware. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| Hand Gesture Recognition has gained significant attention in recent years due to its potential applications in various fields, including interaction with virtual environments (like the Metaverse), teleoperation, and prosthetic device control. Multiple sensing techniques can be employed for hand movement recognition, including vision-based sensors (cameras), mechanical sensors (e.g., IMUs), sEMG, and the more recent and increasingly popular Ultrasound (US). US enables high-spatial (submillimeter) and temporal (fraction of a millisecond) resolution imaging of deep musculoskeletal structures. While several studies [1], [2], [3] have used US for hand gesture recognition, challenges remain in ensuring robustness against factors like sensor shift, donning and doffing, varying muscle force, and interday use [4].
- Biomedical Engineering, Electrical and Electronic Engineering, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Dynamic Population Games (DPGs) are an important class of games that models many real-world problems, including energy systems, epidemics, and the recently proposed “karma economies” for fair resource allocation. A DPG consists of a large population of self-interested agents each solving an individual Markov Decision Process (MDP). The MDP of each agent is coupled to the actions of others and is hence parametrized by the policies adopted in the population. Computing the Nash equilibrium of a DPG is challenging as it involves iteratively solving MDPs many times. This suffers from the well-known curse of dimensionality which severely limits the size of the state and action spaces that are computationally tractable.
Madupite is a novel distributed high-performance solver for large-scale infinite horizon discounted MDPs, which leverages PETSc to implement inexact policy iteration methods in a distributed fashion. Despite its software complexity, Madupite comes with a very intuitive Python interface and a detailed documentation, that allow any Python user to easily deploy it to efficiently simulate and solve large-scale MDPs in a fully distributed fashion. Preliminary benchmarks have showcased the great potential of Madupite, which is capable of efficiently handling MDPs with millions of states.
Motivated by the recent development of Madupite, this project aims at developing fast computation tools that are capable of solving large-scale DPGs. - Computer Software, Engineering and Technology
- Bachelor Thesis, Semester Project
| This project aims to develop a real-time hierarchical navigation system for a quadruped robot to achieve autonomous navigation in challenging 3D terrains, to compete in the ICRA 2025 Quadruped Robot Challenges. - Intelligent Robotics
- Machine Learning (PBL), Master Thesis, Robotics (PBL)
| Develop a framework to integrate Large Language Models (LLMs) for interacting with
robotic cars leveraging the Jetson Orin AGX and the ForzaETH robotic platform. - Automotive Engineering, Electrical Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The remarkable complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space. To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cellular nanomechanics such as tension forces and bioelectromagnetics) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
In this framework we are investigating the unacknowledged key role of Desmoglein 3 (Dsg3) as a receptor involved in mechanosensing, capable of initiating a signaling response in the transcellular communication network, which results in stem cell fate conversion, plasticity and tissue repair.
Our goal is to apply innovative Fluidic Force Microscopy to measure altered biophysical parameters upon disruption of Dsg3 transadhesion such as cell stiffness, cell-cell adhesion, cell surface charges and electric potentials. Together with the University of Bern and University of Lübeck we are further investigating how these biophysical changes relate to transcriptomic, epigenomic and proteomic response circuits to ultimately infer biophysical and biochemical circuits involved in Dsg3 signaling.
- Biochemistry and Cell Biology, Biomedical Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Advancements in sensor technology, low-power mixed-signal/RF circuits, and Wireless Sensor Networks (WSNs) have enabled the creation of compact, cost-effective solutions for healthcare applications. A notable development in this field is the Body Sensor Network, which is designed to monitor the human body for healthcare purposes.
- Biomedical Engineering, Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Semester Project
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