A New Path Planner for Autonomous Mobile Robots Based on Genetic Algorithm
One of the most important issues for autonomous mobile robots is finding paths in their environment. A local path planner must be able to design the path immediately and if possible with high accuracy and efficiency. In this paper genetic algorithm is used in order to devise a path planner that reaches high accuracy like global path planners and at the same time with acceptable speed like local path planners. The method is designed, implemented, and tested on various scenarios shows that not only does this method possesses the capability of display and discovering complex paths but it can also discover paths with great speed in environments where common local path planners cannot even discover a feasible path.
Local Path Planner Genetic Algorithm Navigation of Autonomous Mobile Robot
Pirooz Shamsinejad Mohammad Saraee Farid Sheikholeslam
Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran
国际会议
成都
英文
115-120
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）