A Knowledge-Based Fast Motion Planning Method Through Online Environmental Feature Learning
Yuan Yuan Jie Liu Jiankun Wang Wenzheng Chi Guodong Chen Lining Sun Yuan Yuan Jie Liu Jiankun Wang Wenzheng Chi Guodong Chen Lining Sun
The sampling-based partial motion planning algorithm has come into widespread application in dynamic mobile robot navigation due to its low calculation costs and excellent performance in avoiding obstacles. However, when confronted with complicated scenarios, the motion planning algorithms are easily caught in traps. In order to solve this problem, this paper proposes a knowledge-based fast motion...