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| Target Position Estimation Aided Swarm Robotic Search under Conditions of Absolute Localization Mechanism |
| ZAN Yun-Long,XUE Song-Dong,ZENG Jian-Chao |
Engineering Technology of Internet of Things Research Center,Computer Science and Technology School,
Taiyuan University of Science and Technology,Taiyuan 030024 |
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Abstract When swarm robots are controlled cooperatively following the extended particle swarm optimization model for target search,each member robot is guided by social experience and its cognition to move step by step toward the potential goal. However,in this mechanism the social experience must be elected from the cognition of member robots rather than formal fusion. Wireless sensor network is a characteristic of swarm robotic system in aspect of physical properties,on the basis of that,a target position estimation method is employed. The range-based localization of wireless sensor network is used for target position estimation to replace social experience in the existing model. Results of simulations show that the proposed mode of social experience producing outperforms the existing ones when swarm scale is big enough,which makes cooperation search efficiency raised.
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Received: 14 November 2011
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[1] Dorigo M,Sahin E. Swarm Robotics. Autonomous Robots,2004,17(2/3): 111-113
[2] Beni G. From Swarm Intelligence to Swarm Robotics // Proc of the International Workshop on Swarm Robotics. Santa Monica,USA,2005: 1-9
[3] Sahin E. Swarm Robotics: From Sources of Inspiration to Domains of Application // Proc of the International Workshop on Swarm Robotics. Santa Monica,USA,2005: 10-20
[4] Xue Songdong,Zeng Jianchao. Swarm Robotics: A Survey. Pattern Recognition and Artificial Intelligence,2008,21(2): 177-185 (in Chinese)
(薛颂东,曾建潮.群机器人研究综述.模式识别与人工智能,2008,21(2): 177-185)
[5] Bayindir L,Sahin E. A Review of Studies in Swarm Robotics. Turkish Journal of Electrical Engineering and Computer Sciences,2007,15(2): 115-147
[6] Pugh J,Martinoli A. Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization // Proc of the IEEE Swarm Intelligence Symposium. Honolulu,USA,2007: 332-339
[7] Xue Songdong,Zeng Jianchao. Control over Swarm Robots Search with Swarm Intelligence Principles. Journal of System Simulation,2008,20(13): 3449-3454
[8] Zeng Jianchao,Xue Songdong. Modeling and Simulation Approaches to Swarm Robotic Systems. Journal of System Simulation,2010,22(6): 1327-1330 (in Chinese)
(曾建潮,薛颂东.群机器人系统的建模与仿真.系统仿真学报,2010,22(6): 1327-1330)
[9] Doctor S,Venayagamoorthy G K,Gudise V G. Optimal PSO for Collective Robotic Search Applications // Proc of the Congress on Evolutionary Computation. Portland,USA,2004,Ⅱ: 1390-1395
[10] Hereford J,Siebold M. Multi-Robot Search Using a Physically- Embedded Particle Swarm Optimization. International Journal of Computational Intelligence Research,2008,4(2): 197-209
[11] Jatmiko W,Sekiyama K,Fukuda T. A PSO-Based Mobile Robot for Odor Source Localization in Dynamic Advection-Diffusion with Obstacles Environment: Theory,Simulation and Measurement. IEEE Computational Intelligence Magazine,2007,2(2): 37-51
[12] Marques L,Nunes U,Almeida A T. Particle Swarm-Based Olfactory Guided Search. Autonomous Robots,2006,20(3): 277-287
[13] Rigatos G G. Multi-Robot Motion Planning Using Swarm Intelligence. International Journal of Advanced Robotic Systems,2008,5(2): 139-144
[14] Atyabi A,Phon-Amnuaisuk S,Ho C K. Applying Area Extension PSO in Robotic Swarm. Journal of Intelligent and Robotic Systems,2010,58(3/4): 253-285
[15] Tan Ying,Xue Songdong,Zeng Jianchao,et al. Effects of Algorithmic Parameters on Swarm Robotic Search // Proc of the IEEE International Conference on Information and Automation. Harbin,China,2010: 87-92
[16] Li Wenfeng. Wireless Sensor Network and Mobile Robot Control. Beijing,China: Science Press,2009 (in Chinese)
(李文峰.无线传感器网络与移动机器人控制.北京:科学出版社,2009)
[17] Qi Yihang,Jarmuszewski P,Zhou Qingmai,et al. An Efficient TIS Measurement Technique Based on RSSI for Wireless Mobile Stations. IEEE Trans on Instrumentation and Measurement,2010,59(9): 344-351
[18] Xu Jiuqiang,Liu Wei,Lang Fenggao,et al. Distance Measurement Model Based on RSSI in WSN. Wireless Sensor Network,2010,2(8): 606-611
[19] Sugano M,Kawazoe T,Ohta Y,et al. Indoor Localization System Using RSSI Measurement of Wireless Sensor Network Based on ZigBee Standard // Proc of the International Association of Science and Technology for Development International Conference on Wireless Sensor Network.Alberta,Canada,2006: 1-6 |
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2013, Vol. 26 
