wu chao / Chongqing University of Posts and Telecommunications
In order to overcome the high time consumption and poor environment adaptability in obstacle avoidance of wheeled robots formation, a strategy which combining heuristic path planning function and optimal formation transformation was proposed, and it was applied to AGV (Automatic Guided Vehicle). First of all, a base of common robots formation knowledge and the transformation time was built; Secondly, the optimal obstacle avoidance path was found according to the minimum time-consuming assessment value which was calculated by heuristic function and optimal formation transformation; finally, the robots formation can pass through the obstacle areas in the topology of leader-follower. Compared with the traditional method, the simulation result shows that the proposed method is more effective and flexible.