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Mathematical Problems in Engineering
Volume 2015, Article ID 678451, 16 pages
http://dx.doi.org/10.1155/2015/678451
Research Article

Multiple Chemical Sources Localization Using Virtual Physics-Based Robots with Release Strategy

1School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
2School of Science, Dalian Jiaotong University, Dalian, Liaoning 116028, China

Received 29 October 2014; Revised 5 January 2015; Accepted 8 January 2015

Academic Editor: Javier Moreno-Valenzuela

Copyright © 2015 Yuli Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Atema, “Chemical signals in the marine environment: dispersal, detection, and temporal signal analysis,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 1, pp. 62–66, 1995. View at Publisher · View at Google Scholar · View at Scopus
  2. Q. Lu, Q.-L. Han, X. Xie, and S. Liu, “A finite-time motion control strategy for odor source localization,” IEEE Transactions on Industrial Electronics, vol. 61, no. 10, pp. 5419–5430, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Pang and J. A. Farrell, “Chemical plume source localization,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no. 5, pp. 1068–1080, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. J. A. Farrell, S. Pang, W. Li, and R. Arrieta, “Chemical plume tracing experimental results with a REMUS AUV,” in Proceedings of the OCEANS, vol. 2, pp. 962–968, San Diego, Calif, USA, September 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Vergassola, E. Villermaux, and B. I. Shraiman, “'Infotaxis' as a strategy for searching without gradients,” Nature, vol. 445, no. 7126, pp. 406–409, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. G. Ferri, E. Caselli, V. Mattoli, A. Mondini, B. Mazzolai, and P. Dario, “SPIRAL: a novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow,” Robotics and Autonomous Systems, vol. 57, no. 4, pp. 393–402, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. J. H. Belanger and M. A. Willis, “Biologically-inspired search algorithms for locating unseen odor sources,” in Proceedings of the IEEE International Symposium on Intelligent Control Held Jointly with the IEEE International Symposium on Computational Intelligence in Robotics and Automation, and the IEEE International Symposium on Intelligent Systems and Semiotics (ISIC-CIRA-ISAS '98), pp. 265–270, Gaithersburg, Md, USA, September 1998. View at Publisher · View at Google Scholar
  8. Y. Kuwana and I. Shimoyama, “A pheromone-guided mobile robot that behaves like a silkworm moth with living antennae as pheromone sensors,” The International Journal of Robotics Research, vol. 17, no. 9, pp. 924–933, 1998. View at Publisher · View at Google Scholar · View at Scopus
  9. L. L. López, V. Vouloutsi, A. E. Chimeno et al., “Moth-like chemo-source localization and classification on an indoor autonomous robot,” in On Biomimetics, chapter 21, pp. 453–466, InTech, 2011. View at Publisher · View at Google Scholar
  10. R. A. Russell, A. Bab-Hadiashar, R. L. Shepherd, and G. G. Wallace, “A comparison of reactive robot chemotaxis algorithms,” Robotics and Autonomous Systems, vol. 45, no. 2, pp. 83–97, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. W. Jatmiko, K. Sekiyama, and T. Fukuda, “A PSO-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: theory, simulation and measurement,” IEEE Computational Intelligence Magazine, vol. 2, no. 2, pp. 37–51, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Zhang, D. Gong, and Y. Zhang, “A niching PSO-based multi-robot cooperation method for localizing odor sources,” Neurocomputing, vol. 123, pp. 308–317, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. K. N. Krishnanand and D. Ghose, “Theoretical foundations for rendezvous of glowworm-inspired agent swarms at multiple locations,” Robotics and Autonomous Systems, vol. 56, no. 7, pp. 549–569, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. G. C. H. E. de Croon, L. M. O'Connor, C. Nicol, and D. Izzo, “Evolutionary robotics approach to odor source localization,” Neurocomputing, vol. 121, pp. 481–497, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. G. Kowadlo and R. A. Russell, “Using naïve physics for odor localization in a cluttered indoor environment,” Autonomous Robots, vol. 20, no. 3, pp. 215–230, 2006. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Ishida, H. Tanaka, H. Taniguchi, and T. Moriizumi, “Mobile robot navigation using vision and olfaction to search for a gas/odor source,” Autonomous Robots, vol. 20, no. 3, pp. 231–238, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Marjovi and L. Marques, “Multi-robot olfactory search in structured environments,” Robotics and Autonomous Systems, vol. 59, no. 11, pp. 867–881, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Marjovi, J. G. Nunes, L. Marques, and A. de Almeida, “Multi-robot exploration and fire searching,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09), pp. 1929–1934, IEEE, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. W. Burgard, M. Moors, C. Stachniss, and F. E. Schneider, “Coordinated multi-robot exploration,” IEEE Transactions on Robotics, vol. 21, no. 3, pp. 376–386, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. F. Tang and L. E. Parker, “A complete methodology for generating multi-robot task solutions using ASyMTRe-D and market-based task allocation,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '07), pp. 3351–3358, Roma, Italy, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. W. M. Spears, D. F. Spears, J. C. Hamann, and R. Heil, “Distributed, physics-based control of swarms of vehicles,” Autonomous Robots, vol. 17, no. 2-3, pp. 137–162, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. D. Zarzhitsky, D. F. Spears, and W. M. Spears, “Distributed robotics approach to chemical plume tracing,” in Proceedings of the IRS/RSJ International Conference on Intelligent Robots and Systems (IROS '05), pp. 4034–4039, August 2005. View at Publisher · View at Google Scholar · View at Scopus
  23. Y. L. Zhang, X. P. Ma, and Y. Z. Miao, “Strategies for locating multiple odor sources using glowworm swarm optimization,” TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 11, no. 7, pp. 3718–3727, 2013. View at Publisher · View at Google Scholar
  24. Y. Zhang, X. Ma, and Y. Miao, “Localization of multiple odor sources using modified glowworm swarm optimization with collective robots,” in Proceedings of the 30th Chinese Control Conference (CCC '11), pp. 1899–1904, Yantai, China, July 2011. View at Scopus
  25. D. H. Luo, Y. H. Zou, and J. J. Zhuang, “Multi-robot odor source localization strategy based on a modified ant colony algorithm,” Robot, vol. 30, no. 6, pp. 536–541, 2008. View at Google Scholar · View at Scopus
  26. W. Jatmiko, A. Nugraha, R. Effendi et al., “Localizing multiple odor Sources in a dynamic environment based on modified niche particle swarm optimization with flow of wind,” WSEAS Transactions on Systems, vol. 8, no. 11, pp. 1187–1196, 2009. View at Google Scholar · View at Scopus
  27. Y. L. Zhang, X. P. Ma, and Y. Z. Miao, “Chemical source localization using mobile robots in indoor arena,” TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 11, no. 7, pp. 3718–3727, 2013. View at Publisher · View at Google Scholar
  28. X. Ma, Y. Zhang, and Y. Miao, “A virtual physics-based approach to multiple odor sources localization,” TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 12, no. 7, pp. 5331–5341, 2014. View at Publisher · View at Google Scholar
  29. Z. Liu and T. F. Lu, “A simulation framework for plume-tracing research,” in Proceedings of the Australian Conference on Robotics & Automation, pp. 1–7, Canberra, Australia, 2008.
  30. T. F. Lu, “Indoor odour source localisation using robot: initial location and surge distance matter?” Robotics and Autonomous Systems, vol. 61, no. 6, pp. 637–647, 2013. View at Publisher · View at Google Scholar · View at Scopus
  31. H. Rezaee and F. Abdollahi, “Mobile robots cooperative control and obstacle avoidance using potential field,” in Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM '11), pp. 61–66, July 2011. View at Publisher · View at Google Scholar · View at Scopus