An Anthropopathic Path Planning Method for Indoor Service Robots
Indoor environment is distinct from other robot workspace. On one side, most of the information of indoor objects can be acquired beforehand. On the other side, dynamic obstacles exist in indoor environment. The path planning problem is difficult for indoor service robots. A new path planning method for indoor service robots is proposed in this article. Firstly, the complicated global path is decomposed into several sub-routes by priori model of static indoor environment. For each sub-route, a shortest path is computed with a modified visibility graph and Dijkstra algorithm. Finally, local path planning is realized with laser scanner sensor. The whole process of path planning imitates the manner of human path planning. The algorithm is simple and could be applied on the real-time navigation system of indoor service robot.
path planning service robot visibility graph
Yanhua Mu Yixin Yin Tieqiang Sun
School of Information Engineering University of Science and Technology Beijing.Beijing, China
国际会议
武汉
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)