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Physicomimetic Method for Swarm Robots Search |
XIE Li-Ping1,2, ZENG Jian-Chao2 |
1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050 2.Division of System Simulation and Computer Application, Taiyuan University of Science and Technology, Taiyuan 030024 |
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Abstract Inspired by physicomimetic approach, a physicomimetics framework for swarm robots search is presented. The virtual forces among robots are defined by Newton's law of gravity. The relationships are constructed between robots' sensing intensity of the target signal and their virtual masses, and the virtual interaction rules are established among robots. The simulation results indicate the superiority of the proposed approach in search efficiency and precision.
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Received: 25 June 2008
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[1] Xue Songdong, Zeng Jianchao. Sense Limitedly, Interact Locally: the Control Strategy for Swarm Robots Search // Proc of the IEEE International Conference on Networking, Sensing and Control. Sanya, China, 2008: 402-407 [2] Kantor G, Singh S, Peterson R, et al. Distributed Search and Rescue with Robot and Sensor Teams. Springer Tracts in Advanced Robotics, 2006, 24(2): 529-538 [3] Hayes A T. Self-Organized Robotic System Design and Autonomous Odor Localization. Ph.D Dissertation. Pasadena, USA: California Institute of Technology, 2002 [4] Cui X, Hardin T, Ragade R K, et al. A Swarm Approach for Emission Sources Localization // Proc of the 16th IEEE International Conference on Tools with Artificial Intelligence. Boca Raton, USA, 2004: 424-430 [5] Marques L, Nunes U, de Almeida A T. Particle Swarm Based Olfactory Guided Search. Autonomous Robotics. 2006, 20(3): 277-287 [6] Marques L, Nunes U, de Almeida A T. Odor Searching with Autonomous Mobile Robots: An Evolutionary-Based Approach // Proc of the 11th International Conference on Advanced Robotics. Coimbra, Portugal, 2003: 494-500 [7] Jatmiko W, Sekiyama K, Fukuda T. A PSO-Based Mobile Sensor Network for Odor Source Localization in Dynamic Environment: Theory, Simulation and Measurement // Proc of the IEEE Congress on Evolutionary Computation. Vancouver, Canada, 2006: 1036-1043 [8] Doctor S, Venayagamoorthy G K, Gudise V G. Optimal PSO for Collective Robotic Search Applications // Proc of the IEEE Congress on Evolutionary Computation. Portland, USA, 2004, Ⅱ: 1390-1395 [9] Pugh J, Martinoli A. Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization // Proc of the 4th IEEE Swarm Intelligence Symposium. Honolulu, USA, 2007: 332-339 [10] Spears W M, Spears D F, Heil R, et al. An Overview of Physicomimetics // Proc of the International Workshop on Swarm Robotics. Santa Monica, USA, 2005: 84-97 [11] Spears W M, Spears D F, Hamann J C, et al. Distributed, Physics-Based Control of Swarms of Vehicles. Autonomous Robots, 2004, 17 (2/3): 137-162 [12] Spears D F, Spears W M. Analysis of a Phase Transition in a Physics-Based Multiagent System // Proc of the 2nd International Workshop on Formal Approaches to Agent-Based Systems. Greenbelt, USA, 2003: 193-207 [13] Spears W M, Heil R, Spears D F, et al. Physicomimetics for Mobile Robot Formations // Proc of the 3rd International Joint Conference on Autonomous Agents and Multi-Agent Systems. New York, USA, 2004: 1528-1529 [14] Spears W M, Heil R, Zarzhitsky D. Artificial Physics for Mobile Robot Formations // Proc of the IEEE International Conference on Systems, Man and Cybernetics. Big Island, USA, 2005, Ⅲ: 2287-2292 [15] Spears D F, Kerr W, Spears W F. Physics-Based Robots Swarms for Coverage Problems. International Journal on Intelligent Control and Systems, 2006, 11(3):11-23 [16] Kerr W, Spears D F, Spears W M, et al. Two Formal Gas Models for Multi-Agent Sweeping and Obstacle Avoidance // Proc of the 3rd International Workshop on Formal Approaches to Agent-Based Systems. Greenbelt, USA, 2005: 111-130 [17] Spears W M, Spears D F. Using Artificial Physics to Control Agents // Proc of the IEEE International Conference on Information, Intelligence and Systems. Washington, USA, 1999: 281-288 [18] Spears W M, Spears D F, Heil R. A Formal Analysis of Potential Energy in a Multiagent System // Proc of the 3rd International Workshop on Formal Approaches to Agent-Based Systems. Greenbelt, USA, 2005: 131-145 |
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