Sensory-based walking motion instruction for biped humanoid robot

Yu Ogura*, Shumpei Ando, Hun Ok Lim, Atsuo Takanishi

*この研究の対応する著者

研究成果: Article査読

8 被引用数 (Scopus)

抄録

This paper describes a sensory-based biped walking motion instruction strategy. Visual and auditory sensors are employed to generate walking patterns according to human orders and to memorize various complete walking patterns effectively and systematically. The motion of lower-limbs for locomotion is created by an online pattern generator based on the sensory information. At the same time, the motion of the trunk and the waist for stability is generated online by a balance control method. Combining these locomotive and balance motions, a complete walking pattern is hierarchically constructed and memorized on a database. The walking instruction is conducted through computer simulation, and its effectiveness is verified.

本文言語English
ページ(範囲)223-230
ページ数8
ジャーナルRobotics and Autonomous Systems
48
4 SPEC. ISS.
DOI
出版ステータスPublished - 2004 10月 31

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • 数学 (全般)
  • コンピュータ サイエンスの応用

フィンガープリント

「Sensory-based walking motion instruction for biped humanoid robot」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル