Autonomous navigation in a known dynamic environment

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper proposes a method for the navigation of an autonomous robot used inside a building. The main problem to be solved in this issue is the need to use both a priori information on the environment and momentary sensor data in an intelligent way, and thus make the robot capable of finding its way around while also avoiding the obstacles, both static and dynamic. In the paper, a hybrid navigation method is proposed, using two techniques that deal with a priori information and sensory data separately. An algorithm for finding the optimal route to the goal using a priori information is suggested. The properties of the complete system are verified by computer simulation.

Original languageEnglish
Pages266-271
Number of pages6
Publication statusPublished - Jul 11 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: May 25 2003May 28 2003

Other

OtherThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period5/25/035/28/03

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Keywords

  • A* algorithm
  • Generalized fuzzy-neural network
  • Global navigation
  • Local navigation
  • Mobile robots
  • Potential field based guiding

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Kiss, L., Várkonyi-Kóczy, A. R., & Baranyi, P. (2003). Autonomous navigation in a known dynamic environment. 266-271. Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.