A robot can learn to pick and place an object using grasp poses that are feasible in both the pick pose and the place pose, by summing learned feasibility scores for the two poses.
Learning to predict diverse stable placements for extrinsic manipulation on a support plane,
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Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency
A robot can learn to pick and place an object using grasp poses that are feasible in both the pick pose and the place pose, by summing learned feasibility scores for the two poses.