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Closed-form inverse kinematic joint solution for humanoid robots

M A Ali, Hyeoun Ae Park, C.S.G. Lee

Year
2010
Citations
77

Abstract

This paper focuses on developing a consistent methodology for deriving a closed-form inverse kinematic joint solution of a general humanoid robot. Most humanoid-robot researchers resort to iterative methods for inverse kinematics using the Jacobian matrix to avoid the difficulty of finding a closed-form joint solution. Since a closed-form joint solution, if available, has many advantages over iterative methods, we have developed a novel reverse decoupling mechanism method by viewing the kinematic chain of a limb of a humanoid robot in reverse order and then decoupling it into the positioning and orientation mechanisms, and finally utilizing the inverse transform technique in deriving a consistent joint solution for the humanoid robot. The proposed method presents a simple and efficient procedure for finding the joint solution for most of the existing humanoid robots. Extensive computer simulations of the proposed approach on a Hubo KHR-4 humanoid robot show that it can be applied easily to most humanoid robots with slight modifications.

Keywords

Humanoid robotInverse kinematicsKinematicsComputer scienceDecoupling (probability)Robot kinematicsJacobian matrix and determinantRobotControl theory (sociology)Artificial intelligence

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