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文章基本信息

  • 标题:Motion Planning Using an Impact-Based Hybrid Control for Trajectory Generation in Adaptive Walking
  • 作者:Umar Asif ; Javaid Iqbal
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2011
  • 卷号:8
  • 期号:4
  • 页码:53
  • DOI:10.5772/45701
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This paper aims to solve a major drawback of walking robots i.e. their inability to react to environmental disturbances while navigating in natural rough terrains. This problem is reduced here by suggesting the use of a hybrid force-position control based trajectory generation with the impact dynamics into consideration that compensates for the stability variations, thus helping the robot react stably in the face of environmental disturbances. As a consequence, the proposed impact-based hybrid control helps the robot achieve better and stable motion planning than conventional position-based control algorithms. Dynamic simulations and real world outdoor experiments performed on a six legged hexapod robot show a relevant improvement in the robot locomotion.
  • 关键词:Motion Planning; Legged Locomotion; Sensor Fusion; Zero-Moment-Point (ZMP); Gait Generation; Impact Control
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