Universal autonomous robot navigation using quasi optimal path generation

Áron Lászka, Annamária R. Várkonyi-Kóczy, Gábor Pék, Ṕeter V́arlaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Autonomous robot navigation is an important research field because these robots can solve problems where the human presence is impossible, dangerous, expensive, or uncomfortable. In this paper, a new hybrid autonomous navigation method is introduced. The algorithm is composed of visibility graph based global navigation and simple potential field based local navigation parts. It applies a new automated graph generation method which may become necessary if, because of the observed new obstacles, a new path should be generated. The quasi optimal route is found by applying the well known A* algorithm on the graph. The presented technique offers a quasi optimal universal navigation technique which can successfully be used in all, known, unknown, and dynamically changing environments.

Original languageEnglish (US)
Title of host publicationICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
Pages458-463
Number of pages6
DOIs
StatePublished - 2009
Event4th International Conference on Autonomous Robots and Agents, ICARA 2009 - Wellington, New Zealand
Duration: Feb 10 2009Feb 12 2009

Publication series

NameICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents

Conference

Conference4th International Conference on Autonomous Robots and Agents, ICARA 2009
Country/TerritoryNew Zealand
CityWellington
Period2/10/092/12/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

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