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  • 标题:Optimization-based Approach for Motion Planning of a Robot Walking on Rough Terrain
  • 本地全文:下载
  • 作者:Dominik Belter
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2013
  • 卷号:7
  • 期号:4
  • 页码:34
  • DOI:10.14313/JAMRIS_4-2013/35
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:The paper presents a mo�on planning algorithm fora robot wal�ing on rough terrain. The mo�on�planer isbased on the improved RRT (Rapidly Exploring RandomTree���onnect algorithm. The �ar�cle �warm �p�mi�a��on (���� algorithm is proposed to solve a posture op��mi�a�on problem. The steepest descent method is usedto determine the posi�on of the robot�s feet during theswing phase. The gradient descent method is used forsmoothing the �nal path. The proper�es of the mo�onplanning algorithm are presented in four cases� mo�onplanning over a bump, concavity, step and rough terrainmoc�up. The maximal si�es of par�cular obstacle typestraversable by the �essor robot with the new, op�mi�edmo�on plan are given.
  • 关键词:wal�ing robot; mo�on planning; rough terrain;locomo�on
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