Research on Multi-robot Coordination Searching Ignition Sources Approach
Jun Li 1, Wen-Long Song 1, Pu-Cheng Zhou2
(1.College Mechanical and Electrical Northeast Forestry University, Harbin 150040, China; 2. 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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Research on Multi-robot Coordination Searching Ignition Sources Approach
本站小编 哈尔滨工业大学/2019-10-24
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