Learn from Interaction: Learning to Pick via Reinforcement Learning in Challenging Clutter
Chao Zhao,Jungwon Seo,Chao Zhao,Jungwon Seo
Bin picking is a challenging problem in robotics due to high dimensional action space, partially visible objects, and contact-rich environments. State-of-the-art methods for bin picking are often simplified as planar manipulation, or learn policy based on human demonstration and motion primitives. The designs have escalated in complexity while still failing to reach the generality and robustness o...
