Path planning of a mobile robot using genetic heuristics

被引:41
|
作者
Nearchou, AC [1 ]
机构
[1] Univ Patras, Dept Mech Engn, GR-26110 Patras, Greece
关键词
path planning; mobile robot; genetic heuristics; load picking;
D O I
10.1017/S0263574798000289
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
A genetic algorithm for the path planning problem of a mobile robot which is moving and picking up loads on its. way is presented. Assuming a findpath problem in a graph, the proposed algorithm determines a near-optimal path solution using a bit-string encoding of selected graph vertices. Several simulation results of specific task-oriented variants of the basic path planning problem using the proposed genetic algorithm are provided. The results obtained are compared with ones yielded by hill-climbing and simulated annealing techniques, showing a higher or at least equally well performance for the genetic algorithm.
引用
收藏
页码:575 / 588
页数:14
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