Genetic algorithms for adaptive planning of path and trajectory of a mobile robot in 2D terrains

被引:1
|
作者
Sugihara, K [1 ]
Smith, J [1 ]
机构
[1] Univ Hawaii Manoa, Dept Informat & Comp Sci, Honolulu, HI 96822 USA
关键词
genetic algorithms; adaptivity; autonomous mobile robots; path planning; trajectory planning;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes genetic algorithms (GAs) for path planning and trajectory planning of an autonomous mobile robot. Our GA-based approach has an advantage of adaptivity such that the GAs work even if an environment is time-varying or unknown. Therefore, it is suitable for both off-line and on-line motion planning. We first presents a GA for path planning in a 2D terrain. Simulation results on the performance and adaptivity of the GA on randomly generated terrains are shown. Then, we discuss an extension of the GA for solving both path planning and trajectory planning simultaneously.
引用
收藏
页码:309 / 317
页数:9
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