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 ro...

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Bibliographic Details
Published in:Key engineering materials 2012-12, Vol.531-532, p.741-745
Main Authors: O Yang, Xin Yu, Xu, Wang Bao, Cui, Nai Dong, Zhou, Zi Wei
Format: Article
Language:English
Subjects:
Algorithms
Multiple robots
Optimization
Path planning
Potential fields
Robots
Searching
Unknown environments
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Summary: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
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.531-532.741