JRM Vol.20 No.5 pp. 775-784
doi: 10.20965/jrm.2008.p0775


Biped Landing Pattern Modification Method and Walking Experiments in Outdoor Environment

Kenji Hashimoto*, Yusuke Sugahara**, Hun-Ok Lim***,*****,
and Atsuo Takanishi****,*****

*Graduate School of Science and Engineering, Waseda University, 3-4-1 Ookubo, Shinjuku-ku, Tokyo 169-8555, Japan

**Department of Bioengineering and Robotics, Tohoku University, 6-6-01, Aoba, Aramaki, Aoba-ku, Sendai 980-8579, Japan

***Department of Mechanical Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama, Kanagawa 221-8686, Japan

****Department of Modern Mechanical Engineering, Waseda University, 3-4-1 Ookubo, Shinjuku-ku, Tokyo 169-8555, Japan

*****Humanoid Robotics Institute (HRI), Waseda University, 17-41-2-04A Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan

February 6, 2008
September 3, 2008
October 20, 2008
biped walking, human-carrying robot, uneven terrain, pattern modification, nonlinear admittance control

Many researchers have studied walking stability control for biped robots, most of which involve highly precise acceleration controls based on robot model mechanics. Modeling error, however, makes the control algorithms used difficult to apply to biped walking robots intended to transport human users. The “landing pattern modification method” we propose is based on nonlinear admittance control. Theoretical compliance displacement calculated from walking patterns is compared to actual compliance displacement, when a robot’s foot contacts slightly uneven terrain. Terrain height is detected and the preset walking pattern is modified accordingly. The new biped foot we also propose forms larger support polygons on uneven terrain than conventional biped foot systems do. Combining our new modification method and foot, a human-carrying biped robot can traverse uneven terrain, as confirmed in walking experiments.

Cite this article as:
Kenji Hashimoto, Yusuke Sugahara, Hun-Ok Lim, and
and Atsuo Takanishi, “Biped Landing Pattern Modification Method and Walking Experiments in Outdoor Environment,” J. Robot. Mechatron., Vol.20, No.5, pp. 775-784, 2008.
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