Effects of Walking Style and Symmetry on the Performance of Localization Algorithms for a Biped Humanoid Robot

Yukitoshi Minami Shiguematsu, Martim Brandao, Atsuo Takanishi

研究成果: Conference contribution

抄録

Motivated by experiments showing that humans' localization performance changes with walking parameters, in this paper we explore the effects of walking gait on biped humanoid localization. We focus on walking style (normal and gallop) and gait symmetry (one side slower), and we assess the performance of visual odometry (VO) and kinematic odometry algorithms for the robot's localization. Changing the walking style from normal to gallop slightly improved the performance of the visual localization, which was related to a reduction in torques on the feet. Changing the gait temporal symmetry worsened the performance of the visual algorithms, which according to an analysis of inertial data, is related to an increase of mechanical vibrations and camera rotations. Both changes of gait style and symmetry decreased the performance of the kinematic localization, caused by the increase of vertical ground reaction forces, to which kinematic odometry is very sensitive. These observations support our claim that gait and footstep planning could be used to improve the performance of localization algorithms in the future.

本文言語English
ホスト出版物のタイトルProceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ307-312
ページ数6
ISBN(電子版)9781538636152
DOI
出版ステータスPublished - 2019 4 25
イベント2019 IEEE/SICE International Symposium on System Integration, SII 2019 - Paris, France
継続期間: 2019 1 142019 1 16

出版物シリーズ

名前Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019

Conference

Conference2019 IEEE/SICE International Symposium on System Integration, SII 2019
国/地域France
CityParis
Period19/1/1419/1/16

ASJC Scopus subject areas

  • 原子分子物理学および光学
  • 電子工学および電気工学

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