A New Method Combining Analytic Method and Genetic Algorithm for the Inverse Solution of Container Binding Manipulator

Abstract

In order to improve the operating efficiency of containers at terminals, an industrial manipulator technology is proposed to replace the manual fastening of container binding parts. To get the inverse solution of the manipulator efficiently, a new method combining Analytic Method and Genetic Algorithm is proposed. The simulation results obtained by the MATLAB software show that the optimal inverse kinematics solution of the manipulator can be obtained by this new method, and the convergence speed is better than that of the traditional Genetic Algorithm.