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Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article presents a self-supervised learning approach for a robot to learn spatially varying process parameter models for contact-based finishing tasks. In many finishing tasks, a part has spatially varying stiffness. ...
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