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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Jun Li,Wen-Long Song,Pu-Cheng Zhou.Research on Multi-robot Coordination Searching Ignition Sources Approach[J].Journal of Harbin Institute Of Technology(New Series),2013,20(2):50-54.DOI:10.11916/j.issn.1005-9113.2013.02.010.
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Research on Multi-robot Coordination Searching Ignition Sources Approach
Author NameAffiliation
Jun Li College Mechanical and Electrical Northeast Forestry University, Harbin 150040, China 
Wen-Long Song College Mechanical and Electrical Northeast Forestry University, Harbin 150040, China 
Pu-Cheng Zhou Dept.of Information Engineering, Artillery Academy of PLA, Hefei 230031, China 
Abstract:
For the purpose of study on forecasting forest fire behavior, a probability approach was presented to search ignition sources by multi-robot coordination. Firstly, the environment map is built based on Bayes rules. Then, the probability searching strategy based on the environment map was designed. Every grid of the searching area was assigned searching expectation value, and robots selected the grid with the highest expectation value as its searching target. The simulation results show the search time reduces greatly, which proves the feasibility and validity of the given algorithm under unknown fire condition.
Key words:  fire-fighting robots  Bayes rules  multi-robot coordination
DOI：10.11916/j.issn.1005-9113.2013.02.010
Clc Number:TP24
Fund:

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