A Neural Network Based Inverse Kinematics Solution In Robotics

This paper presents a new scheme to solve the inverse kinematics problem in Robotics by using the optimizability of the Hopfield network and the concept of the sliding mode control. Attention is given to the quality of the solution, to accommodating the redundant robots, and to the feasibility of using this scheme for Cartesian position control.

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