Object Perception & Manipulation: Where Do We Stand?

This lecture by the instructor covers the current status of object perception and manipulation in robotics, focusing on topics such as vision for robotics, object modeling, tracking, recognition, and manipulation. The lecture delves into tasks like object search, clear, assemble, and grasp, emphasizing the challenges and advancements in the field. It also discusses techniques for grasping transparent objects, experience-based grasping, and learning from CAD data. The importance of context, data annotation, and robot system design are highlighted, along with insights on what developers and users actually want from robotic systems.