CMU and Meta AI Researchers Propose HACMan: A Reinforcement Learning Approach for 6D Non-Prehensile Manipulation of Objects Using Point Cloud Observations

Human skill relies heavily on the capacity to handle items beyond simple grabbing. Pushing, flipping, toppling, and sliding are examples of non-prehensile manipulation, and they are crucial for a wide range of jobs where objects are difficult to grip or where workspaces are congested. However, robots still struggle with non-prehensile manipulation.  Object geometry, touch, and […]

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