Max Planck ETH Center for Learning Systems| Acronym | MPG ETH CLS | | Homepage | http://learning-systems.org/ | | Country | [nothing] | | ZIP, City | | | Address | | | Phone | | | Type | Alliance | | Current organization | Max Planck ETH Center for Learning Systems | | Members | |
Open OpportunitiesThis project aims to explore the dynamic capabilities of
microrobots to undergo a shape-change through dipole-dipole
interactions in magnetic fields. The project encompasses three
main phases: simulation, fabrication, and application, with a
specific focus on biomedical scenarios. - Engineering and Technology
- Master Thesis, Semester Project
| Optimal steady-state operations are crucial for engineering systems. A promising paradigm called feedback optimization (FO) features autonomous optimality seeking with a minimal requirement on model information, i.e., the input-output sensitivity. In applications, however, uncertainties (e.g., random failures and parameter shifts) may cause a model mismatch, thus resulting in closed-loop sub-optimality. To address this critical issue, we will explore robustifying FO against structured model mismatch through regularization. To this end, we will formulate a min-max closed-loop optimization problem and solve the reformulated regularized problem in an online fashion. We will characterize the optimality and stability of the closed-loop behavior. Furthermore, we will numerically validate the effectiveness of the proposed algorithm. - Dynamical Systems, Electrical Engineering, Systems Theory and Control, Systems Theory and Control
- Bachelor Thesis, Master Thesis, Semester Project
| The innumerable uses of rope, including climbing, sailing, circus acts, and wrangling livestock, suggest that it could be used as an universal robotic manipulator. When combined with a mobile base, e.g. a cowboy on a horse, rope manipulation can be an effective tool for all manner of robot-environment interaction challenges. In this project, we seek to realize a control framework for ANYmal such that it can use a rope launcher to manipulate various objects.
- Intelligent Robotics, Robotics and Mechatronics, Systems Theory and Control
- Master Thesis, Semester Project
| When quadrupedal animals injure their limbs, they adapt their gait to compensate for the injury. Conversely, when a quadruped robot’s leg breaks, its functionality is severely curbed, and in many cases, entirely compromised. This project will investigate the interplay of disabled/dismembered quadrupedal robot legs, locomotion performance, and control strategy, with the goal of converging on effective policies that abstract across different kinds of “injuries.” - Intelligent Robotics, Robotics and Mechatronics, Systems Theory and Control
- Master Thesis
| In this project, we aim to develop a depth completion framework based on the anisotropic diffusion prior. - Computer Vision, Engineering/Technology Instrumentation, Geomatic Engineering, Pattern Recognition
- Master Thesis
| 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
| A campus board was instrumented to measure forces applied to the rungs. Now, the entire setup should be transferred to climbing gyms. - Biomedical Engineering, Interdisciplinary Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Semester Project
| 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
| We aim to develop a method to incorporate fine-grained tactile and visual feedback into our haptic teleoperation setup and investigate their effectiveness with state-of-the-art imitation learning methods. - Intelligent Robotics
- Master Thesis, Semester Project
| Minimal is a mostly 3D-printed, highly reconfigurable robot. Using state-of-the-art reinforcement learning, we will explore novel and highly advanced hardware design possibilities that will be coupled with design optimization through learning. This will enable the next generation of robots to be a lot faster, stronger and agile. - Engineering and Technology
- Master Thesis, Semester Project
|
|
