Vision-based robotic perception

This lecture by the instructor M. Chli focuses on the challenges and opportunities in vision-based robotic perception, covering topics such as high-fidelity SLAM, scene reconstruction for interaction and path-planning, place recognition using deep learning, event cameras for tracking, continuous-time SLAM, and collaborative SLAM. The lecture delves into cutting-edge techniques like real-time wide-baseline place recognition, event cameras for high-fidelity SLAM, and semantic-aware planning using reinforcement learning. It also explores the development of collaborative visual perception and intelligence for robotic autonomy.