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
| Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum | |
|---|---|---|---|---|---|
| nach Vereinbarung | n.V. | 13.10.2025-06.02.2026 |
| Modul | Veranstaltung | Leistungen | |
|---|---|---|---|
| 39-M-Inf-P Projekt | Projekt | unbenotete Prüfungsleistung
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Studieninformation |
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