SLAM for Autonomous Navigation
Master Simultaneous Localization and Mapping (SLAM) techniques to enable robots and autonomous vehicles to build maps of unknown environments while simultaneously tracking their own location.
4 courses
Learn to program and design autonomous robots that navigate, map, and interact with unknown environments using computer vision and modern sensor fusion.
Build a clear, beginner-friendly understanding of Simultaneous Localization and Mapping, how robots build maps while tracking their own location.
Walk through the practical design of a SLAM stack that combines visual and LiDAR sensors for a real robot, from front-end perception to back-end optimization.
Plan and operate SLAM-driven robots in real environments, with focus on deployment, drift management, map maintenance, and long-term reliability.