A network trained on demonstration point clouds predicts joint axes, positions, states, and manipulation order for multi-DoF objects, enabling a robot to replicate the demonstrated motions.
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Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects
A network trained on demonstration point clouds predicts joint axes, positions, states, and manipulation order for multi-DoF objects, enabling a robot to replicate the demonstrated motions.