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《Computer Knowledge and Technology》 2018-24
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Global Path Planning of Coal Mine Rescue Robot Based on Improved Ant Colony Algorithm

ZHENG Jia-feng;TIAN Si-qing;Institute of Information Electronics Jiamusi University;Jiamusi University School of Mechanical Engineering;  
Non-structural and high-risk for the operating environment of underground coal mines,especially after an accident,rescu-ers cannot enter the site for assistance in time.This paper studies a global path planning algorithm for mine rescue robots based onimproved ant colony algorithm,The algorithm can achieve robot autonomous search path.Simulation proves that this algorithm canquickly plan a global optimal path,Improve the emergency rescue efficiency of rescue robots.
【Fund】: 佳木斯大学应用重点项目(项目编号:12Z2201526);佳木斯大学科技创新团队建设计划项目(项目编号:Cxtdpy-2016-03)
【CateGory Index】: TP18;TP242
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