INERTIAL BASED ZERO VELOCITY UPDATE ALGORITHM FOR PLANAR WORM-LIKE LOCOMOTION ROBOTS

DOI
  • Pang Hongsen
    Institute of AI and Robotics, MOE Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, Fudan University
  • Zhang Xiaoxu
    Institute of AI and Robotics, MOE Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, Fudan University
  • Xu Jian
    Institute of AI and Robotics, MOE Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, Fudan University
  • Fang Hongbin
    Institute of AI and Robotics, MOE Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, Fudan University

説明

<p>State perception of a worm-like robot in an unstructured environment is a prerequisite for precise locomotion control. One of the current mainstream methods is to use inertial measurement units (IMU). However, due to sensor drift and the existence of uncertainty in the environment, the state estimator errors will accumulate. To solve this problem and to make it applicable to worm-like robots, the IMU data of the robot segments under different locomotion gaits are experimentally acquired and examined. Based on the variance threshold, the acceleration, and the angular velocity of the robot segment, a sliding window multi-threshold zero-velocity update (ZUPT) method is proposed. This method can solve the problem of pseudo-zero velocity interval and pseudo-motion interval induced by gait switching and sensor cumulative error under a single judgment condition, thereby improving the accuracy of the IMU in the perception of the state worm-like robots.</p>

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390578160855163776
  • DOI
    10.11509/isfa.2022.243
  • ISSN
    2434446X
  • 本文言語コード
    en
  • データソース種別
    • JaLC
  • 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