Sheng Ge

A Reconfigurable Design for Omni-Adaptive Grasp Learning

The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this letter, we investigate how learning method can be used to support the design reconfiguration of robotic grippers for grasping using a novel soft structure with omni-directional