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Shuffle turn and translation of humanoid robots

Masanao Koeda, Yumi Uda, Seiji Sugiyama, Tsuneo Yoshikawa

Year
2011
Citations
21

Abstract

This paper proposes a novel shuffle-translating method that combines shuffle turns repeatedly for a humanoid robot. Conventionally, the walking motion of a humanoid robot is performed through a repeated foot stepping motion. However, this motion is inefficient and has low stability. Previously, we have studied the shuffle-turning method for a humanoid robot, which can perform a stepless and stable turning. In this paper, we present a precise shuffle turn with feedback control and a new shuffle translation method by repeating shuffle turns. Experiments using a humanoid robot were conducted and the results revealed that the proposed method was effective for shuffle translation.

Keywords

Humanoid robotMotion (physics)Translation (biology)Computer scienceRobotArtificial intelligenceTurn (biochemistry)Stability (learning theory)Computer visionHuman–computer interaction

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