Milp-based dual-arm motion planning considering shared transfer path for pick-up and place

Jun Kurosu, Ayanori Yorozu, Masaki Takahashi

研究成果: Conference contribution

抄録

One of the most basic tasks that a dual-arm robot does is pick-up and place work. Pick-up and place work consists of tasks in which the robot carries objects from a start position (initial position) to a goal position. The following three important points should also be considered when the dual-arm robot does this work efficiently: (1) collision avoidance of the arms, (2) which arm should move an object, and (3) the order in which the objects should be picked up and placed. In addition, dual-arm robot has operation range constraints. Depending on the position relationship between a start position and goal position, unless both arms are used, the object may not be transferred to a goal position. In this paper, we define the transfer path which must use both arms as “shared transfer path”. First, we use mixed integer linear programming (MILP) based planning for the pick-up and place work to determine which arm should move an object and in which order these objects should be moved while considering the dual-arm robot’s operation range. Second, we plan the path using the rapidly exploring random tree (RRT) so that the arms do not collide, enabling the robot to perform efficient pick-up and place work based on the MILP planning solution. The effectiveness of proposed method is confirmed by simulations and experiments using the HIRO dual-arm robot.

本文言語English
ホスト出版物のタイトルIntelligent Autonomous Systems 15 - Proceedings of the 15th International Conference IAS-15
編集者Rüdiger Dillmann, Emanuele Menegatti, Stefano Ghidoni, Marcus Strand
出版社Springer Verlag
ページ67-77
ページ数11
ISBN(印刷版)9783030013691
DOI
出版ステータスPublished - 2019
イベント15th International Conference on Intelligent Autonomous Systems, IAS 2018 - Baden-Baden, Germany
継続期間: 2018 6月 112018 6月 15

出版物シリーズ

名前Advances in Intelligent Systems and Computing
867
ISSN(印刷版)2194-5357

Other

Other15th International Conference on Intelligent Autonomous Systems, IAS 2018
国/地域Germany
CityBaden-Baden
Period18/6/1118/6/15

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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