A New Algorithm of Path Planning Based on Local Data
A novel new algorithm of path planning is proposed for the robot path planning based on the local data map in the robot autonomous navigation.The algorithm is used to search for the local optimal path from the current position of the robot to the target according to the known sensor data.If the robot cannot reach the target directly,the temporary target point which the robot can reach will be set up according to the optimal path.The algorithm is effective under the complicated unknown environment and moving obstacle situation which fast searching speed,it can be adapted into the practical applications and the multi-robot harmony easily.The simulation result shows that this method can provide a better planning path by comparing with the traditional planning algorithms such as artificial potential field and wall-following.
Path planning Autonomous navigation Motion controller Artificial potential field
Ziwei Zhou Xinyu O Yang Wangbao Xu Naidong Cui
School of Electronics &Information Engineering, Liaoning University of Science and Technology ,Liaon State Grid International & Telecommunication Co., LTD, Beijing 100000 ,China
国际会议
广州
英文
741-745
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）