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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. ...
A Survey of Wheeled Mobile Manipulation: A DecisionMaking Perspective
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Mobile manipulators that combine base mobility with the dexterity of an articulated manipulator have gained popularity in numerous applications ranging from manufacturing and infrastructure inspection to domestic service. ...
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