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A Novel Synthesis of Computational Approaches Enables Optimization of Grasp Quality of Tendon-Driven Hands

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3 Author(s)
Joshua M. Inouye ; Department of Biomedical Engineering , University of Southern California, CA, USA ; Jason J. Kutch ; Francisco J. Valero-Cuevas

We propose a complete methodology to find the full set of feasible grasp wrenches and the corresponding wrench-direction-independent grasp quality for a tendon-driven hand with arbitrary design parameters. Monte Carlo simulations on two representative designs combined with multiple linear regression identified the parameters with the greatest potential to increase this grasp metric. This synthesis of computational approaches now enables the systematic design, evaluation, and optimization of tendon-driven hands.

Published in:

IEEE Transactions on Robotics  (Volume:28 ,  Issue: 4 )