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A Learning Rule-Based Robotics Hand Optimal Force Closure

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1 Author(s)
E. Mattar Al-Gallaf ; Dept. of Electr. & Electron. Eng., Univ. of Bahrain, Bahrain, Bahrain

This article presents an intelligent fuzzy rule-based approach for computing optimal set of joints torques, for manipulating a grasped object by a dexterous multi-fingered robotics hand. The intelligent approached followed here, is to let a learning fuzzy system to approximate a nonlinear force formulation for optimal contact forces. This has been achieved via following two major steps: The first was to formulate the optimal fingertips force distribution as a quadratic force optimization problem, hence to generate a large set of data. The second step was to involve a learning fuzzy system (Neuro- Fuzzy System) to learn the nonlinear relations governing fingertips forces (ℝ∈12 × 1) to hand joint torques (ℝ∈12 × 1). Simulation results show that the proposed Neuro-Fuzzy network do achieve optimal grasping force in real time.

Published in:

Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on

Date of Conference:

28-30 July 2010