A Genetic Algorithms Approach to Model Parameter Estimation of a Robot Joint with Torque Sensing

Abstract

A genetic algorithms approach is proposed to identify model parameters for a robotic joint with a torque sensor. The joint torque sensor measurement is used in the implementation of this identification technique. A real coded genetic algorithm is introduced to estimate friction and torque sensor model parameters. Simulation results have demonstrated the effectiveness of the proposed identification technique