Research on Six Degree of Freedom Robot Trajectory Planning Method Based on Improved Ant Colony Algorithm

Abstract

With the rapid development of intelligent manufacturing, the control technology of industrial robots has been upgraded gradually, and the traditional six-degree-of-freedom industrial robots' teaching and control method can no longer meet the needs of industrial production. In order to make the robot adapt to the complex and changing environmental space and complete the established work smoothly and efficiently, this paper establishes the robot kinematic model and organizes the parameters using MD-H modelling method for the kinematic analysis problem of six-degree-of-freedom industrial robots, and improves the ant colony algorithm for the motion path planning problem of six-degree-of-freedom industrial robots, which improves the industrial robot production efficiency