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Picking up dishes based on active groping with multisensory robot hand

Junya Fujimoto, Ikuo Mizuuchi, Yoshinao Sodeyama, Kunihiko Yamamoto, Naoya Muramatsu, Shigeki Ohta, Toshinori Hirose, Kazuo Hongo, Kei Okada, Masayuki Inaba

Year
2009
Citations
26

Abstract

In this paper we present a new method for picking up dishes based on active groping. Though a bird's eye view is commonly used to recognize dishes, this method tends to produce errors in the presence of large occlusion, A multisensory robot hand can be used in a kitchen environment to probe and grasp dishes that are placed close to each other. Though sensing is an effective method, it is difficult to recognize a dish globally by this method because of the locality of measurement. To solve this difficulty, we propose a sensing method to aquire the geometric information about dishes by tracing their surface. We demonstrate that a robot can pick up three types of dishes on the basis of this active groping strategy by conducting an experiment.

Keywords

GRASPRobotComputer visionTracingArtificial intelligenceComputer scienceLocality

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