Study on Path Planning of Patrol Obstacle Avoidance Based on Robot NAO

摘要

Path planning is the core part of robotic patrol and obstacle avoidance, which has been widely used. Considering about the family environment and the various factors of different path planning algorithms, artificial potential field algorithm is selected as the path planning algorithm. In addition to derive the traditional artificial potential field algorithm, this paper also introduced solutions such as how to solve the various defects of traditional artificial potential field algorithm, the simulation of traditional artificial potential field algorithm and verify the feasibility of modifying the algorithm. The integrity and superiority of the process are the hallmarks of this article.