Stochastic mobility-based path planning in uncertain environments

Gaurav Kewlani, Genya Ishigami, Karl Iagnemma

研究成果: Conference contribution

45 被引用数 (Scopus)

抄録

The ability of mobile robots to generate feasible trajectories online is an important requirement for their autonomous operation in unstructured environments. Many path generation techniques focus on generation of time- or distance-optimal paths while obeying dynamic constraints, and often assume precise knowledge of robot and/or environmental (i.e. terrain) properties. In uneven terrain, it is essential that the robot mobility over the terrain be explicitly considered in the planning process. Further, since significant uncertainty is often associated with robot and/or terrain parameter knowledge, this should also be accounted for in a path generation algorithm. Here, extensions to the rapidly exploring random tree (RRT) algorithm are presented that explicitly consider robot mobility and robot parameter uncertainty based on the stochastic response surface method (SRSM). Simulation results suggest that the proposed approach can be used for generating safe paths on uncertain, uneven terrain.

本文言語English
ホスト出版物のタイトル2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
ページ1183-1189
ページ数7
DOI
出版ステータスPublished - 2009 12 11
外部発表はい
イベント2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, United States
継続期間: 2009 10 112009 10 15

出版物シリーズ

名前2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Other

Other2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
国/地域United States
CitySt. Louis, MO
Period09/10/1109/10/15

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用
  • 制御およびシステム工学

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