Implementation of simulated human grasping for manufacturing tasks

Brett J. Douville; Xinmin Zhao; Norman I. Badler

doi:10.1117/12.227225

21 November 1995 Implementation of simulated human grasping for manufacturing tasks

Brett J. Douville, Xinmin Zhao, Norman I. Badler

Proceedings Volume 2596, Modeling, Simulation, and Control Technologies for Manufacturing; (1995) https://doi.org/10.1117/12.227225
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

We describe an implementation of the simulation of human grasping for manufacturing tasks using a realistic human figure with a high-level behavioral control interface. Grasping simulations can then inform the manufacturer as to requirements on human grasping in manufacturing environments. We further describe the integration of a reach planner with grasping to provide simulation of reaching and grasping tasks. The simulation of human grasping proceeds from work in cognitive science, psychology, and robotics, in which human grasping is described as a primarily tactile activity. Information about target geometry is derived from contact with the object to be grasped, and the simulation is driven by this collision information. Reaching and grasping have been integrated to provide more automated control of the simulation of grasping. A motion planning approach controls human arm movement: given a position in 3D space, the reaching algorithm automatically computes a collision-free and strength-feasible motion sequence to move the hand to the desired position. If a tool is held in the hand, the collision of the tool with the environment can also be avoided.

Citation Download Citation

Brett J. Douville, Xinmin Zhao, and Norman I. Badler "Implementation of simulated human grasping for manufacturing tasks", Proc. SPIE 2596, Modeling, Simulation, and Control Technologies for Manufacturing, (21 November 1995); https://doi.org/10.1117/12.227225

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