A Comparison of Search Patterns for Cooperative Robots Operating in Remote Environment

Research output: Contribution to book or proceedingConference articlepeer-review

15 Scopus citations

Abstract

In this paper, two scanning paradigms are presented and compared that may be used for robotic scanning of a harsh environment such as a celestial body or earth poles. The first paradigm, tight scanning, includes three algorithms, which may be used to find small objects or gasses confined to small regions such as the methane gas given off by bacteria in buried hot springs in the Canadian arctic. The second paradigm, relaxed scanning, includes four algorithms which may be used to find large objects such as large ice deposits that may be buried just below the surface of Mars. The algorithms are compared against their peer algorithms by their quality of performance. Such performance quality is determined by the ratio of scanned area to the traveled distance by the two robots.

Original languageAmerican English
Title of host publicationProceedings - International Conference on Information Technology
Subtitle of host publicationCoding and Computing, ITCC 2001
Pages668-672
Number of pages5
ISBN (Electronic)0769510620, 9780769510620
DOIs
StatePublished - Apr 2001

Publication series

NameProceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001

Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

Keywords

  • Cooperating robots
  • Positioning system
  • Relaxed scanning paradigms
  • Tight scanning paradigm

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