University of South Florida

Yun Lin

Yu Sun

In one embodiment, a system and method for planning a robot grasp involve measuring interaction forces imposed on an object by an environment while a task is demonstrated using the object to obtain a disturbance distribution dataset, modeling a task requirement based upon the disturbance distribution dataset, identifying robot grasp types that can be used to satisfy the task requirement, calculating a grasp wrench space for each identified robot grasp, and calculating a grasp quality of each grasp.

Systems and methods for planning a robot grasp that can withstand task disturbances

In one embodiment, planning a robot grasp of an object includes determining a grasp type that would be used by a human being to grasp the object, determining a position and orientation of the human being's thumb relative to the object, and planning the robot grasp based upon the determined grasp type and thumb position and orientation.

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Tampa, FL, United States of America

Yun Lin