Multi-Robot Path Planning based on Ant Colony Algorithm

With the continuous development of science and technology, people's requirements for robots are no longer limited to the research of single robots. With the emergence of robot production lines and the application of flexible manufacturing systems, the research of multi-robot has become an important direction of robotics research. Therefore, the role of robot path planning in the coordination and cooperation of multi-robot groups is very important, but there is a problem of inaccurate evaluation of results. The traditional algorithm cannot solve the path planning problem in the coordination and cooperation of multi-robot groups, and the evaluation is unreasonable. Therefore, this paper proposes an ant colony algorithm for innovative path planning analysis. First, the intelligent theory is used to evaluate the robot, and the indicators are divided according to the path planning requirements to reduce them Interference factors in path planning. Then, a multi-robot path planning scheme is formed, and the path planning results are comprehensively analyzed. MATLAB simulation shows that under the condition of certain evaluation criteria, the ant colony algorithm has the accuracy and path planning of multi-robot path planning the time is better than the traditional algorithm.