Based on BP neural network in obstacle avoidance in mobile robots

With the rapid development of robot technology, the application fields of robots are becoming increasingly widespread, as they can replace humans to complete some dangerous and complex tasks. The obstacle avoidance problem of mobile robots is one of the important research directions in robots and has great significance for study. This paper presents the obstacle avoidance problem of robots based on the BP neural network algorithm. The grid method of Matlab is used to establish an environmental map. The results show that this algorithm can accurately achieve obstacle avoidance for mobile robots.