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Gaze motion planning for android robot

Yutaka Kondo, Masato Kawamura, Kentaro Takemura, Jun Takamatsu, Tsukasa Ogasawara

Year
2011
Citations
9

Abstract

Androids are potentially required to show human-like behavior, because their appearance resembles humans' physical features. Therefore, we propose a gaze motion planning method. Within this method, we control the convergence of eyes and the ratio of eye angle to head angle, which leads to a more precise estimation of gaze direction. We implemented our method on the android Actroid-SIT and conducted experiments for evaluation of the effects of our method. Through these experiments, we achieved a common guidance for androids when planning more precise gaze motion.

Keywords

GazeComputer visionComputer scienceArtificial intelligenceAndroid (operating system)Motion planningHumanoid robotRobotMotion estimationSimulation

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