The tasks are submitted via BRUTE - Bundle for Reservation, Uploading, Testing and Evaluation system.
Task ID | Points | Bonus Points | Assignment | Due date 1) |
---|---|---|---|---|
Autonomous robotic information gathering (15 + 5 pts) | ||||
T1a-ctrl | 3 | Open-loop locomotion control | 04. 10. 2025 | |
T1b-react | 3 | Reactive obstacle avoidance | 11. 10. 2025 | |
T1c-plan | 3 | Grid based path planning | 18. 10. 2025 | |
T1d-map | 3 | Map building | 25. 10. 2025 | |
T1e-expl | 3 | Robotic information gathering - mobile robot exploration | 14. 11. 2025 | |
T1x-dstar | 5 | Incremental path planning (D* Lite) | 09. 01. 2026 | |
Multi-goal planning (10 pts) | ||||
T2a-tspn | 3 | Multi-goal planning and data collection path planning - TSP-like formulations | 21. 11. 2025 | |
T2b-dspn | 7 | Data collection path planning with curvature-constrained trajectory - Dubins TSP with Neighborhoods (DTSPN) - decoupled approach | 28. 11. 2025 | |
Randomized sampling-based planning (15 pts) | ||||
T3a-sampl | 3 | Randomized sampling-based algorithms | 05. 12. 2025 | |
T3b-rrt | 7 | Asymptotically optimal sampling-based motion planning | 12. 12. 2025 | |
T3c-risk | 5 | Risk-aware planning | 19. 12. 2025 | |
Reinforcement learning (5 + 5 pts) | ||||
T4a-rl | 5 | Reinforcement learning on an inchworm robot | 03. 01. 2026 | |
T4b-inchworm | 5 | Deployment of reinforcement learning on a real robot | 05. 01. 2026 |
Sum points: 45; Bonus points: 10
Total max points: 55
All homeworks (excluding bonus tasks) must be submitted and pass the evaluation.
The final hard deadline for all homeworks is 10.01.2026 @ 23:59 CET.
Penalty for late submission of the task is set to 0.5 points per 3 days (72h). Points are subtracted until the successful submission of the tasks, i.e., until the BRUTE system does not assign at least 0.1 points from the task. Hence it can happen that the overall task score will be negative.