Real-time Path Planning of Mobile Robots in Dynamic Uncertain Environment

A new path planning method for mobile robots in globally unknown environment with moving obstacles is presented. With an autoregressive (AR) model to predict the future positions of moving obstacles, and the predicted position treated as instantaneously static, a motion path of the mobile robot is planned by means of a real-time path planning technique based on polar coordinates space in which the desirable direction angle is taken into consideration as an index of path optimization. Its effectiveness, feasibility, high stability, perfect performance of obstacle avoidance, real-time and optimization capability are demonstrated by simulation examples.