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基于单目视觉的机器人人工势场法路径规划研究 被引量:4

Study on Artificial Potential Field Path Planning of Robot Based on Monocular Vision
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摘要 本文对国内外智能移动机器人的研究现状和发展趋势进行了分析,介绍了机器人单目视觉场景的基本单目视觉,分析了传统人工势场法在路径规划上存在的问题,为进一步研究单目视觉控制下的机器人进行人工势场法路径规划的问题作了准备.其次重点介绍了改进后的人工势场法的基本原理,对现有算法进行了优化,公式推导结果显示其解决了传统人工势场法中对于目标点不可到达的问题,并且进行实验仿真,仿真结果表明本文方法达到预期的目标. Present situation and development trend of intelligent mobile robot at home and abroad to introduce the basic monocular vision,the robot monocular visual scene analysis of the problems of the traditional artificial potential field method,preparations were made for further research on the robot path planning problem. Second focuses on the basic principle of the artificial potential field method improvements, existing algorithms optimized, solving the problem of traditional artificial potential field method unreachable target point,and simulation can achieve the desired goals.
作者 陈祥章
出处 《南京师大学报(自然科学版)》 CAS CSCD 北大核心 2014年第1期61-65,共5页 Journal of Nanjing Normal University(Natural Science Edition)
基金 国家863计划重点项目(2006AA040202) 徐州市工业科技计划项目(XX10A045)
关键词 移动机器人 单目视觉 人工势场法 路径规划 mobile robot monocular vision artificial potential field path planning
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  • 1张捍东,郑睿,岑豫皖.移动机器人路径规划技术的现状与展望[J].系统仿真学报,2005,17(2):439-443. 被引量:120
  • 2韩永,刘国栋.动态环境下基于人工势场的移动机器人运动规划[J].机器人,2006,28(1):45-49. 被引量:36
  • 3Velagic J, Lacevic B, Osmie N. Efficient path planning algorithm for mobile robot navigation with a local minima problem solving. Proceedings of IEEE International Conference on Industrial technology. Washington, DC : IEEE ,2006:2325-2330.
  • 4Papk M G, Jeon J H, Lee M C. Obstacle avoidance for mobile robots using artificial potential field approach with simulated annealing. Proceedings of IEEE Internnational symposium on Industrial Electronics Proceedings. Washington, DC : IEEE,2001 : 1530-1535.
  • 5Khatib O. Real-time obstacle avoidance form an ipulators and mobile robots . Intl J of Robotic Research, 1986 ;5 ( 1 ) :90-98.
  • 6Shen Kuihua, TanYuegang. A solving approach of partial minimum problem on artificial potential field theory . Transaction of University of Science and Technology of Wu ban, 2005 ;27(8) :77-79.
  • 7张威.MATLAB基础与编程入门.西安.西安电子科技大学出版社.2008.
  • 8Doucet A,Freitas N,Gordan N.Sequential Monte Carlo methods in practice[M].New York:Springer-Verlag,2001.
  • 9Davison A J,Murray D W.Simultaneous localization and map building using active vision[J].IEEE Trans Pattern Analysis and Machine Intelligence,2002,24 (7):865-880.
  • 10David C K Y,MacDonald B A.An evaluation of sequential Monte Carlo technique for simultaneous localization and map-building[A].IEEE International Conference on Robotics and Automation[C].Taipei:ROC,2003.1 564-1 569.

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