Inverse kinematic solution in handling 3R manipulator via real-time Genetic Algorithm

Abstract

The artificial intelligence (AI) machine usage examines various benefits of its applications in industries. This research is to develop an AI 3 revolute (3R) planar manipulator system that would contribute to a productive and a quality way of material handling and processing. The system would adopt the advantage of genetic algorithm to optimize its performance in terms of motion control and accuracy. The GA would use the new proposed crossover operator, namely dynamic multilayered chromosome crossover (DMCC). The paper presents simulation results obtained based on the information of the targetpsilas position and the manipulator orientation.