Mobile Robots

[0.50] credits · Graduate

This course explores the fundamental principles and advanced techniques in mobile robotics, focusing on kinematic modeling and motion control. It delves into navigation strategies, including path planning, obstacle avoidance, and environment decomposition. Students study localization methods such as odometry, map representation, map construction, and an introduction to probabilistic map-based localization. The course also covers Kalman filter-based localization and alternative localization systems. Additionally, it provides an in-depth examination of computer vision, encompassing imaging fundamentals, image representation, feature extraction, pattern recognition, motion analysis from 2D image sequences, image segmentation, object pose estimation, and applications in virtual reality.