Enhanced path smoothing based on conjugate gradient descent for firefighting robots in petrochemical complexes*

Naoki Mizuno, Kazunori Ohno, Ryunosuke Hamada, Hiroyoshi Kojima, Jun Fujita, Hisanori Amano, Thomas Westfechtel, Takahiro Suzuki, Satoshi Tadokoro

研究成果: Article査読

10 被引用数 (Scopus)

抄録

The firefighting robot system (FFRS) comprises several autonomous robots that can be deployed to fire disasters in petrochemical complexes. For autonomous navigation, the path planner should consider the robot constraints and characteristics. Specifically, three requirements should be satisfied for a path to be suitable for the FFRS. First, the path must satisfy the maximum curvature constraint. Second, it must be smooth for robots to easily execute the trajectory. Third, it must allow reaching the target location in a specific heading. We propose a path planner that provides smooth paths, satisfy the maximum curvature constraint, and allows a suitable robot heading. The path smoother is based on the conjugate gradient descent, and three approaches are proposed for this path planner to meet all the FFRS requirements. The effectiveness of these approaches is qualitatively and quantitatively evaluated by examining the generated paths. Finally, the path planner is applied to an actual robot to verify the suitability of the generated paths for the FFRS, and planning is applied to another type of robot to demonstrate the wide applicability of the proposed planner.

本文言語English
ページ(範囲)687-698
ページ数12
ジャーナルAdvanced Robotics
33
14
DOI
出版ステータスPublished - 2019 7 18

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人間とコンピュータの相互作用
  • ハードウェアとアーキテクチャ
  • コンピュータ サイエンスの応用

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