Redundancy coordination of multiple robotic devices for welding through genetic algorithm

In this paper we consider the problem of coordinating multiple motion devic es for welding. We focus on the problem of coordinating a three-axis positi oning table and a six-axis manipulator. The problem is complex as there are nine axes involved and a number of permutations are possible which achieve the same movements of the weld torch. The system is redundant and the robo t has singular configurations. As a result, manual programming of the robot system is rather difficult to complete. Our approach to the coordination problem is based on a subdivision of tasks . The welding table is coordinated to align the weld point surface to be an ti-parallel to the gravity direction. The six-axis robot is constrained to move the weld torch along the weld trajectory. Robot coordination is achiev ed by placing the positioning table in a good maneuverability position, i.e . far from its singular configurations and far from the motion limits of th e six-axis arm and the motion limits of the track. While considering multip le criteria, including the welding orientation, a Genetic Algorithm was emp loyed to globally optimize six relevant redundant degrees of the multiple r obotic system for welding. The joint angles of the arm were generated by in verse kinematics. Our method of redundancy coordination is superior to pseu do-inverse techniques, for it is more global and accurate.