Autonomous Robotics (ARO)
The content of these pages is the result of bonus tasks done by ARO 2024 students. The format and content have varying quality and many improvements are needed. Get 3 bonus points for working on improving these lecture notes! See github.com/ctu-vras/autonomous-robotics for contributing options.
| Date | Lecture | Lecturer |
|---|---|---|
| 17 Feb 2025 | Lec 1: Introduction: course organization, prerequisites and problem definition | Karel |
| 24 Feb 2025 | Lec 2: How to fuse almost anything: Localization and factor graphs | Karel |
| 3 Mar 2025 | Lec 3: Where the hell am I, and where is the stuff around me? SLAM in SE(2) | Karel |
| 10 Mar 2025 | Lec 4: Can I build a map without markers? SLAM with lidar and camera and its efficient optimization on SE(2)/SE(3) | Karel |
| 17 Mar 2025 | Lec 5: Do I really need to remember all that stuff forever? Kalman filter | Karel |
| 24 Mar 2025 | Lec 6: Maximum aposteriori estimate in real-time: Extended Kalman filter, Gauss_newton, Levenberg-Marquardt, Trust region methods | Karel |
| 31 Mar 2025 | Lec 7: Beyond normal distributions: Robust regression; Learning in robotics | Karel |
| 7 Apr 2025 | Lec 8: Exploration, introduction to motion planning | Vojta |
| 14 Apr 2025 | Lec 9: Combinatorial motion planning | Vojta |
| 28 Apr 2025 | Lec 10: Sampling-based motion planning I | Vojta |
| 5 May 2025 | Lec 11: Sampling-based motion planning II | Vojta |
| 12 May 2025 | Lec 12: Sampling-based motion planning III | Vojta |
| 19 May 2025 | Lec 13: Data structures for motion planning | Vojta |