首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Identifying Ground-Robot Impedance to Improve Terrain Adaptability in Running Robots
  • 本地全文:下载
  • 作者:Juan C. Arevalo ; Daniel Sanz-Merodio ; Manuel Cestari
  • 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:2015
  • 卷号:12
  • DOI:10.5772/59888
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:To date, running robots are still outperformed by animals, but their dynamic behaviour can be described by the same model. This coincidence means that biomechanical studies can reveal much about the adaptability and energy efficiency of walking mechanisms. In particular, animals adjust their leg stiffness to negotiate terrains with different stiffnesses to keep the total leg-ground stiffness constant. In this work, we aim to provide one method to identify ground-robot impedance so that control can be applied to emulate the aforementioned animal behaviour. Experimental results of the method are presented, showing well-differentiated estimations on four different types of terrain. Additionally, an analysis of the convergence time is presented and compared with the contact time of humans while running, indicating that the method is suitable for use at high speeds.
  • 关键词:running robot; adaptability; ground-robot impedance
国家哲学社会科学文献中心版权所有