Acceptance over Ignorance - How to Embrace Uncertainty in Robotic Manipulation

Explore a thought-provoking lecture on embracing uncertainty in robotic manipulation presented by Stanford University's Jeannette Bohg at the Winter 2020 Robotics Colloquium. Delve into three innovative approaches that tackle the challenges of uncertainty in robotics: scaffolding robot learning through optimal fixture placement, object-centric task and motion planning, and model-predictive control for deformable object manipulation. Gain insights into why human manipulation skills are difficult to replicate in robots and how accepting inherent uncertainty can lead to more robust robotic systems. Learn about Bohg's distinguished career and her contributions to the field of autonomous robotic manipulation and grasping.