@inproceedings{da35810bd2a94854ba34821f5c26f4bd,
title = "Macro-walking instruction for biped humanoid robot",
abstract = "This paper describes a macro-walking instruction strategy for a biped humanoid robot to memorize complex walking patterns systematically and effectively. In teaching various walking motions, auditory sensors are employed. Based on the sensory information, the motion of lower-limbs is created in online by a pattern generator. At the same time, the motion of the trunk and the waist is generated in online by a balance control method for walking stability. A complete walking pattern is hierarchically constructed on the basis of basic and advanced walking patterns. Using WABIAN-RV, many experimental tests are conducted, and the effectiveness of the teaching strategy is verified.",
keywords = "Databases, Design engineering, Humanoid robots, Humans, Learning systems, Legged locomotion, Robot sensing systems, Robotics and automation, Service robots, Speech recognition",
author = "Yu Ogura and S. Ando and N. Hieda and Lim, {Hun Ok} and A. Takanishi",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003 ; Conference date: 20-07-2003 Through 24-07-2003",
year = "2003",
doi = "10.1109/AIM.2003.1225132",
language = "English",
series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "417--422",
booktitle = "Proceedings - 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003",
}