Path Planning Algorithms For Robots Based On Elastic Band Theory

Since the birth of the world’s first robot, robot technology has been developedrapidly and actively in research and application of robots to the direction of thedevelopment of intelligent, modular and systemati, and its applications are alsoincreasingly wide.People require robots be able to perform the task to dangerous or can not reach theplace. Therefore, path planning is the premise of robot successfully completed the task.As the basis of the robot, the research and development of good path planning algorithmhas a very important significance for the continuous development of the robot. Althoughthere have been developed a lot of path planning algorithm, in a specific applicationprocess, each has its own advantages and disadvantages. This paper presents a pathplanning method based on the elastic band theory, which provides a new way ofthinking. The method can be used in planning a feasible path fastly to improve theoperating efficiency of the robot.From obstacle avoidance, optimization and target up to sexual, we proposed apolicy which combined global planning and local planning and given path generationmethod based on the elastic band theory, in order to ensure that the target is reachable.The findings enrich the theory of robot path planning, robot path optimizationresults, lay the foundation for further research for robot path planning.