Crawling motion and foot trajectory modification control for legged robot on rough terrain

Takashi Matsuzawa, Ayanori Koizumi, Kenji Hashimoto, Xiao Sun, Shinya Hamamoto, Tomotaka Teramachi, Nobuaki Sakai, Shunsuke Kimura, Atsuo Takanishi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a crawling motion to reduce the risk of malfunction due to falling when a legged robot travels across rough terrain. This locomotion method includes a phase in which the torso of the robot comes into contact with the ground to lower its center of mass compared with that during conventional bipedal or quadrupedal walking motion. In rough terrain, the ability of a robot to crawl is very likely to be hindered since its feet may encounter holes or protrusions caused by road surface damage. To avoid this issue, we suggest a modified foot trajectory control method based on information obtained by force and attitude angle sensors. To verify the effectiveness of the proposed crawling motion on rough terrain, we created a terrain model using a dynamics simulator and conducted an experiment by applying the proposed control method to a four-limbed robot traveling across the modelled terrain. The experimental results confirmed that a robot can successfully traverse rough terrain using the proposed crawling motion and that the foot trajectory modification control method can enhance the performance of the robot during such motion.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1976-1982
ページ数7
ISBN(電子版)9781509067572
DOI
出版ステータスPublished - 2017 8月 23
イベント14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
継続期間: 2017 8月 62017 8月 9

出版物シリーズ

名前2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017

Other

Other14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
国/地域Japan
CityTakamatsu
Period17/8/617/8/9

ASJC Scopus subject areas

  • 制御と最適化
  • 器械工学
  • 人工知能
  • 産業および生産工学
  • 機械工学

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