Local obstacle avoidance planning of logistics system AGV based vector field

In the case of knowing the environmental information of static obstacles, in order to improve the path of AGV (automatic guided vehicle) in logistics system, the paper uses a method of path planning which based on modified potential field. The potential field is more convenient and efficient than the intelligent method, and it's one of many path planning methods. The calculated amount of improved algorithm is little, it's easier to meet real-time requirement and relatively simple in mathematical description, resulting in relatively smooth and safe path. Improved potential field improves the operation efficiency and safety of the system in actual system applications. The analysis of the typical examples verifies the validity of this method.