Dynamic Obstacle Avoidance of Autonomous Mobile Robot Based on Probabilistic Potential Field

Katsura Seiichiro, Ohnishi Kouhei

研究成果: Article査読

10 被引用数 (Scopus)

抄録

In order to share environment with human for a mobile robot, it is necessary to avoid dynamic obstacles like human. Then, in this paper, an avoidance of an obstacle which governed by probabilistic equation, is realized. The paper proposes the probabilistic potential field adopted in the trajectory planning. It is possible to take a sudden change of an environment into account in the proposed method by assigning priority to the latest data. The numerical and experimental results show viability of the proposed method.

本文言語English
ページ(範囲)1284-1290
ページ数7
ジャーナルieej transactions on industry applications
121
12
DOI
出版ステータスPublished - 2001

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

フィンガープリント 「Dynamic Obstacle Avoidance of Autonomous Mobile Robot Based on Probabilistic Potential Field」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル