Path planning of mobile robots based on obstacle motion prediction assisted by artificial intelligence

This paper conducts optimization research on the problem of local dynamic obstacle avoidance path planning for mobile robots. Based on the current historical position trajectory of dynamic obstacles, a dynamic obstacle motion trend prediction algorithm is proposed. In the process of dynamic obstacle avoidance path planning for mobile robots, considering the current position of obstacles, the movement trajectory of dynamic obstacles is evaluated. An improved D* Lite path planning algorithm is proposed, which greatly improves the efficiency and safety of the robot’s dynamic obstacle avoidance algorithm. A simulation verification environment is built, and typical single dynamic obstacle and multi-dynamic obstacle scenarios are given to compare and verify the effectiveness of the obstacle avoidance path planning algorithm.