Context recognition in mobile robots cooperation using fuzzy signature

Áron Ballagi, László T. Kóczy, Claudiu Pozna

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

4 Citations (Scopus)

Abstract

Robots cooperation means also to define the commune task. In order to understand their cooperation the robots must have complete knowledge about all possible states of the work or to understand the context by extract useful information from observation. Present paper focus on the second possibility. We propose a strategy of information extraction and context understanding based on an original data structure, the fuzzy signature and on a priori knowledge, the robot codebook. The paper starts by presenting the concept of the fuzzy signature and exemplify the idea of cooperation by context understanding.

Original languageEnglish
Title of host publicationInternational Conference on Theoretical and Mathematical Foundations of Computer Science 2010, TMFCS 2010
Pages110-115
Number of pages6
Publication statusPublished - Dec 1 2010
Event2010 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2010 - Orlando, FL, United States
Duration: Jul 12 2010Jul 14 2010

Publication series

NameInternational Conference on Theoretical and Mathematical Foundations of Computer Science 2010, TMFCS 2010

Other

Other2010 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2010
CountryUnited States
CityOrlando, FL
Period7/12/107/14/10

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Keywords

  • Fuzzy signature
  • Mobile robots
  • Observation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

Ballagi, Á., Kóczy, L. T., & Pozna, C. (2010). Context recognition in mobile robots cooperation using fuzzy signature. In International Conference on Theoretical and Mathematical Foundations of Computer Science 2010, TMFCS 2010 (pp. 110-115). (International Conference on Theoretical and Mathematical Foundations of Computer Science 2010, TMFCS 2010).