This project aims to enhance the existing Mujoco-based extension of the Cooperative Cuisine environment. The focus is on improving the simulation to make individual actions more suitable for robotic training. This involves refining the physical modeling of objects and agent interactions, and possibly introducing new features to better support the learning and evaluation of robotic skills. Implementation will primarily be in Python using the Mujoco API. The project includes testing and validating the improvements with respect to their applicability in training robotic agents for cooperative tasks.
Please contact fschroeder@techfak.de
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 13.10.2025-06.02.2026 |
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Projekt | Projekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.