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基于相对定位的多移动微机器人协作定位方法 被引量:3

Collaborative localization method of multiple mobile micro-robots based on relative positioning
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摘要 为了提高微机器人定位的精确性,研究了基于相对定位的多移动微机器人协作定位方法。结合微机器人尺寸小的特点,定位系统中采用低功耗的红外传感器作为微机器人的测距传感器,利用粒子滤波实现微机器人的自定位。在自定位及相对定位的基础上,提出了多微机器人的协作定位算法,通过保留一定数目的粒子在自身粒子集合中,而非交换全部的粒子的策略,保证了一定的定位精度。仿真与实验结果验证了协作定位算法的有效性。 Collaborative localization method of multi-mobile micro-robot based on relative positioning is researched, in order to improve localization precision of micro-robot. Self-positioning of micro robot is realized by particle filtering method, and low power consumption infrared sensor is used in positioning system as ranging sensor of micro-robot according to characteristic of small size of micro-robot. Collaborative localization method is proposed based on relative positioning and self-positioning,which remains some particles in its own particle set,rather than strategy of exchanging all the particles, ensure certain positioning precision. The effectiveness of this collaborative localization algorithm is verified by simulation and experiment results.
作者 毛玲 李振波 陈佳品 MAO Ling;LI Zhen-bo;CHEN Jia-pin(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Key Laboratory for Thin Film and Microfahrication,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China)
出处 《传感器与微系统》 CSCD 2018年第8期46-48,共3页 Transducer and Microsystem Technologies
关键词 多微机器人 红外测距 协作定位 multi-micro-robot infrared ranging cooperative localization
作者简介 毛玲(1981-),女,博士,讲师,主要从事多微机器人系统、微型移动机器人相关研究工作。
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  • 1王玲,邵金鑫,万建伟.基于相对观测量的多机器人定位[J].国防科技大学学报,2006,28(2):67-72. 被引量:12
  • 2Stroupe A W, Martin M C , Balch T. Distributed Sensor Fusion for Object Position Estimation by Multi-Robot Systems[C]// Proceedings of the IEEE International Conference on Robotics and Automation (ICRA01), Seoul , Korea : May ,2001:1092 - 1098.
  • 3Roumeliotis S I. and Bekey G A. Distributed Multirobot Localization [J], IEEE Transaction on Robotics and Automation October 2002,18(5) :781- 795.
  • 4Roumeliotis S I and Rekleitis I M. Analysis of Multirobot Localization Uncertainty Propagation [C]// Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS03) Las Vegas, USA, 2003.
  • 5Fox D, Wolfram Burgard,hannes Kruppa. Collaborative multirobot localization [-J ] . Autonomous robots on heterogeneous multi-robot systems. 2000,Special Issue,8(3):325- 344.
  • 6Howard A, Mataric M J and Sukhatme G S. Localization for Mobile Robot Teams Using Maximum Likelihood Estimation [C]//Proceedings of the 1EEE International Conference on Intelligent Robot and Systems (IROS02), Volume 3, 30 Sept.5 Oct. 2002:2849- 2854.
  • 7Howard A, Mataric M J and Sukhatme G S. Cooperative Relative Localization for Mobile Robot Teams: An EGO-Centric Approach [C]// Proceedings, Naval Research Laboratory Workshop on Multi-Robot Systems, Washington, DC, March 17-19, 2003: 65-76.
  • 8Rekleitis I M, Dudek G, Milios E E. Multi-robot Cooperative Localization:A Study of Trade-Off Between Efficiency and Accuracy [C]//Proceedings of the IEEE International Conference on Intelligent Robot and Systems (IROS02), Lausanne, Switzerland, 30 Sept. 5 Oct. 2002: 2690-2695.
  • 9Agostino Martinelli, Frederic Pont and Roland Siegwart. MultiRobot Localization Using Relative Observations [C]// Proceedings of the IEEE International Conference on Intelligent Robot and Systems (IROS2004), Senda, Japan, 2004.
  • 10Luis Montesano, Jose Gaspar, Jose Santos-Victor, Cooperative Localization by Fusing Vision-based Bearing Measurements and Motion[C]//Proceedings of the IEEE International Conference on Intelligent Robot and Systems (IROS2005), Canada, 2005.

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