ETH Competence Center - ETH AI Center| Acronym | | | Homepage | https://ai.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | ETH Competence Center - ETH AI Center | | Members | |
Open OpportunitiesIn this project, we aim to study the effect of the network’s architecture in continual learning, with a specific focus on the effect of scaling it to large width and depth, and their interplay with other architectural components such as residual connections. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| In recent years, advancements in reinforcement learning have achieved remarkable success in teaching robots discrete motor skills. However, this process often involves intricate reward structuring and extensive hyperparameter adjustments for each new skill, making it a time-consuming and complex endeavor. This project proposes the development of a skill generator operating within a continuous latent space. This innovative approach contrasts with the discrete skill learning methods currently prevalent in the field. By leveraging a continuous latent space, the skill generator aims to produce a diverse range of skills without the need for individualized reward designs and hyperparameter configurations for each skill. This method not only simplifies the skill generation process but also promises to enhance the adaptability and efficiency of skill learning in robotics. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
| This project explores unsupervised learning using extensive videos from the internat that capture human interactions with objects. By harnessing advanced generative AI models, the focus is on understanding object affordances, such as identifying interaction points and predicting post-grasp trajectories. - Computer Vision, Intelligent Robotics
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This project aims to investigate the use of machine learning-based algorithms to obtain a deeper understanding of the graph-structured vasculature preserved in corrosion casts. For a more detailed description, please refer to the attached document and the information below. - Central Nervous System, Computer Vision, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- Lab Practice, Master Thesis, Semester Project
| This project explores wheeled-legged legged robots, i.e., a robot that has both wheels and point-feet as end-effectors of its legs. Thereby, different locomotion modes should be explored, as well as different configurations of mounting wheels to legs. One idea could be a diagonal bicycle mode, another could be optimizing locomotion for payload transport. The project should include the implementation and deployment of the developed locomotion concepts and policies on real hardware. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
| Achieving task-level generalizations requires acquiring a large amount of rich interaction data. Simulators offer a safe, efficient, and cost-effective means of system development. However, generating task and scene-level diversity requires significant human effort to develop and verify novel tasks. This project aims to automate this process by leveraging the grounding capabilities of large language models. - Intelligent Robotics, Knowledge Representation and Machine Learning
- Bachelor Thesis, Master Thesis, Semester Project
| What if a simple smartphone app using artificial intelligence could help enhancing the understanding of one’s health and monitor with high precision the presence and evolution of important biomarkers for various physiological and pathological aspects? This project aims to develop an artificial intelligence-based application that enables real time and high precision quantification of biomarkers in body fluids, from an image of an assay’s readout. To do so, computer vision techniques will be applied, and different neural network will be tailored for the desired application to enhance the potential of a paper-based point of care device. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Fast and efficient structure optimization based on parametrized shapes in surrogate fluid simulation environment. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| This project aims to investigate the use of machine learning-based algorithms to obtain a deeper understanding of the graph-structured vasculature preserved in corrosion casts. For a more detailed description, please refer to the attached document and the information below. - Central Nervous System, Computer Vision, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- Lab Practice, Master Thesis, Semester Project
| Robots need to manipulate a wide range of unknown objects, from transparent to shiny surfaces. The goal of this project is to investigate learning techniques to bridge the visual domain gap between high-fidelity rendered scenes and real-world images for scene understanding.
- Computer Vision, Intelligent Robotics, Knowledge Representation and Machine Learning
- Master Thesis
|
|
