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  • 标题:Mobile Robot Path Planning based on Conformal Geometric Algebra and Teaching-Learning Based Optimization
  • 本地全文:下载
  • 作者:Jesus Hernandez-Barragan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:13
  • 页码:338-343
  • DOI:10.1016/j.ifacol.2018.07.301
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA crucial task for mobile robots is to move safely through its environment. Therefore, the determination of a safe path planning algorithm is a key problem. In this paper, the authors present a path planning approach based on Conformal Geometric Algebra and Teaching-Learning Based Optimization. The proposed approach solves the path planning for 2D and 3D environments. The simulation results proved the effectiveness of the proposed method.
  • 关键词:KeywordsPath PlanningMobile RobotsGeometric AlgebraMetaheuristic Algorithms
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