Sensorless Object Exploration and Stable Contact by Robot Manipulator in Unknown Environment

Shunichi Sakurai, Seiichiro Katsura

研究成果: Conference contribution

抄録

Effective algorithms for object exploration and manipulation have been widely required for the improvement of the dexterity of robots. Especially, feedback of tactile sensation can be utilized for the precise and versatile manipulation. However, most conventional methods are conservative. This is because they ignore the exploration process and assume that a robot manipulates an object at the tip of its arm. These conditions are not always satisfied, especially in the case that the robot does not have the information about the object and have to explore it firstly. In this paper, we propose an algorithm for sensorless object exploration and stable contact. The algorithm is based on the statics with the extended Jacobian matrix, which relates the joints and an arbitrary point of the robot. The exploration algorithm for the stable contact with unknown environment is also introduced, and represented in a form of a state machine. Experimental results with a robot manipulator are shown for the validation of the proposed algorithm. Furthermore, an advanced experiment with a dual-arm robot is shown and validates the grasping motion with the proposed algorithm.

本文言語English
ホスト出版物のタイトルIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
出版社IEEE Computer Society
ISBN(電子版)9798350331820
DOI
出版ステータスPublished - 2023
イベント49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
継続期間: 2023 10月 162023 10月 19

出版物シリーズ

名前IECON Proceedings (Industrial Electronics Conference)
ISSN(印刷版)2162-4704
ISSN(電子版)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
国/地域Singapore
CitySingapore
Period23/10/1623/10/19

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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