ZMPを安定規範とした2足歩行ロボットの上体補償運動の学習制御

書誌事項

タイトル別名
  • Learning Control of Compensative Trunk Motion for Biped Walking Robot based on ZMP Stability Criterion.

この論文をさがす

抄録

The authors have been using the ZMP (Zero Moment Point) as a criterion to distinguish the stability of walking for a biped walking robot that has a trunk. In this paper, the authors propose a learning control algorithm of the compensative trunk motion that makes the actual ZMP get closer to the desired ZMP. The convergency of the algorithm is confirmed by computer simulation. By the learning experiments with the biped robot, the reappearance of the measured ZMP is shown and the convergency of the algorithm is confirmed. The change of the convergence rate with the change of the weight coefficient multiplied to the errors between the measured ZMP and the disired ZMP is confirmed by the simulation and the experiments. And also the reasons are discussed.

収録刊行物

被引用文献 (7)*注記

もっと見る

参考文献 (12)*注記

もっと見る

詳細情報 詳細情報について

  • CRID
    1390001204726307328
  • NII論文ID
    10006717473
  • NII書誌ID
    AN00141189
  • DOI
    10.7210/jrsj.11.557
  • ISSN
    18847145
    02891824
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ