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{: .warning } 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 |