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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

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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