16:01
Course Intro for Mobile Sensing and Robotics I (Cyrill Stachniss, 2021)
Cyrill Stachniss
42:34
Probability Primer for Probabilistic Robotics (Cyrill Stachniss)
32:06
Bayes Filter (Cyrill Stachniss)
5:18
Occupancy Grid - 5 Minutes with Cyrill
1:09:25
Occupancy Grid Maps (Cyrill Stachniss)
56:34
Robot Locomotion (Nived Chebrolu)
41:12
Motion Models (Nived Chebrolu)
39:47
Observation Models (Cyrill Stachniss)
4:02
Kalman Filter - 5 Minutes with Cyrill
1:13:36
Kalman Filter & EKF (Cyrill Stachniss)
4:35
Localization - 5 Minutes with Cyrill
36:21
EKF Localization (Nived Chebrolu)
5:12
Particle Filter - 5 Minutes with Cyrill
1:05:34
Particle Filter and Monte Carlo Localization (Cyrill Stachniss)
1:25:26
Robot Control (Nived Chebrolu)
42:18
Model Predictive Control - Part 1: Introduction to MPC (Lasse Peters)
1:12:37
Model Predictive Control - Part 2: Numerical Methods for MPC (Lasse Peters)
1:38:21
Robot Motion Planning using A* (Cyrill Stachniss)
51:37
Markov Decision Processes for Planning under Uncertainty (Cyrill Stachniss)
10:39
Outlook: Further M.Sc. Courses from the Photogrammetry & Robotics Lab at Bonn University (2021)
40:22
Robot Localization - An Overview (Cyrill Stachniss)
