A PSO-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: Theory, simulation and measurement

IEEE Computational Intelligence Magazine

Volumn 2, Issue 2, 2007, Pages 37-51

  Jatmiko, Wisnu ^a   Sekiyama, Kosuke ^a   Fukuda, Toshio ^a  

^a NAGOYA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; COMPUTER SIMULATION; ODORS; OPTIMIZATION; PROBLEM SOLVING;

DYNAMIC ADVECTION; ODOR GATED RHEOTAXIS (OGR); ODOR SOURCE LOCALIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

MOBILE ROBOTS;

EID: 34248402008     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2007.353419     Document Type: Article

References (35)

1. W. Jatmiko, T. Fukuda, F. Arai, and B. Kusumoputro, "Artificial Odor Discrimination System Using Multiple Quartz Resonator Sensor and Various Neural Networks for Recognizing Fragrance Mixtures. IEEE Sensors Journal, vol. 6. no. 1, pp. 223-233, Feb. 2006.
2. W. Jatmiko, T. Fukuda, T. Matsuno, F. Arai, and B. Kusumoputro, "Robotic Applications for Odor-Sensing Technology: Progress and Challenge, WSEAS Transaction on System, Issue 7, vol. 4, pp. 1134-1141, July 2005.
3. W. Jatmiko, B. Kusumoputro, and Yuniarto, "Improving the Artificial Odor and Gas Source Localization System Using the Semiconductor Gas Sensor Based on RF Communication," Proc. of IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 167-170, October 2002.
4. M. Wandel, A. Lilieuthal, T. Duckett, U. Weimar, and A. Zell, "Gas distribution in unventilated indoor environments inspected by a mobile robot," Proc. of IEEE International Conference on Advanced Robotics (ICAR), pp. 507-512, 2003.
5. X. Cui, C.T. Hardin, R.K. Ragade, and A.S. Elmaghraby, "A swarm-based fuzzy logic control mobile sensor network for hazardous contaminants localization," Proc. of IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), pp. 194-2002, 2004.
6. A.T. Hayes, A. Martinoli and R.M. Goodman, "Distributed Odor Source Localization," IEEE Sensors Journal, vol. 2. no. 3, pp. 260-271, June 2002.
7. D. Zarzhitsky, D. Spears, and W. Spears, "Distributed Robotics Approach to Chemical Plume Tracing," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2974-2979, August 2005.
8. W. Jatmiko, Y. Ikemoto, T. Matsuno, T. Fukuda, and K. Sekiyama, "Distributed Odor Source Localization," Proc. IEEE Sensors, pp. 254-257, 2005.
9. W. Jatmiko, K. Sekiyama, and T. Fukuda, "A PSO-based Mobile Sensor Network for Odor Source Localization in Dynamic Environment: Theory, Simulation and Measurement," Proc. of the IEEE CEC-WCCI "Congress Evolutionary Computation-Word Congress on Computational Intelligence", pp. 3781-3788, 2006.
10. W. Jatmiko, K. Sekiyama, and T. Fukuda, "A Mobile Robots PSO-based for Odor Source Localization in Dynamic Environment Advection-Diffusion Environment," Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robotics and Systems (IROS 2006), pp. 4527-4532, 2006.
11. R.C. Eberhart and J. Kennedy, Swarm Intelligence, The Morgan Kaufmann Series in Artificial Intelligence, 2001.
12. A.P. Engelbrecht, Fundamentals of Computational Swam Intelligence, John Wiley & Sons, 2005.
13. R.C. Eberhart and Y. Shi, "Tracking and optimizing dynamic systems with particle swarms," Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2001), pp. 94-97, 2001.
14. X. Hu and R. Eberhart, "Adaptive particle swarm optimization: detection and response to dynamic systems," Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2002), pp. 1666-1670, 2002.
15. T. Blackwell and J. Branke, "Multi-swarm optimization in dynamic environments," In G. R. Raidl, editor, Applications of Evolutionary Computing, volume 3005 of LNCS, Springer, pp. 489-500, 2004.
16. T.M. Blackwell, "Swarms m Dynamic Environment," In Lectute Notes in Computer Science, Proc. of the Genetic and Evolutionary Computation Conference, vol. 2723, pp. 1-12, 2003.
17. T. Blackwell and J. Branke, "Multi-Swarms, exclusion, and anti-convergence in dynamic environments," IEEE Trans. On Evolutionary Computation, vol. 10. no. 4, pp. 459-472, August 2005.
18. A. Carlie and G. Dozier, "Adapting Particle Swarm Optimization to Dynamic Enviroinment," Proc. of the International Conference on Artificial Intelligence, pp. 429-134, 2000.
19. X. Zhang et. al, "Two-Stage Adaptive PMD Compensation in a 10 Gbit/s Optical Communication Systemsusing PSO," Optics Communications, vol. 231, no. 1-6, pp. 223-242, 2004.
20. J.P. Coelho, P.B. De Moura Oliviera, and J. Boa Ventura Cunha, "Non-Linear Concentration Control System Design uniih a New Adaptive PSO," Proc. of the 5th Portugese Conference on Automatic Control, 2002.
21. X. Li and K.H. Dam, "Comparing Particle Swarm for Tracking Extrema in Dynamic Environments," Proc. of the IEEE Congres on Evolutionary Computation (CEC), pp. 1772- 1779, 2003.
22. S. Janson and M. Middendorf, "A Hierarchical Particle Swarm Optimizer and Its Adaptive Variant," IEEE Trans. On Systems, Man, ana Cybernetics-Pan B, vol. 35, no. 6, pp. 1272-1282, December 2005.
23. T. Fukuda and T. Ueyama, "Cellular Robotics and Micro Robotic Systems," World Scientist, Series in Roliotic and Automated Systems, vol. 10, World Scientific (1994).
24. K. Sekiyama and T. Fukuda, "Hierarchical prediction model fot intelligent communication in multiple robotics systems," Robotics and Autonomous Systems, Elsevier, vol. 17, pp. 87-98, 1996.
25. Asama, H. Arai, T. Fukuda, and T. Hasegawa, editors. Distributed Autonomous Robotics Systems (DARS S). Springer-Verlag, pp. 3-8, 2002.
26. J. Branke, Evolutionary Optimization in Dynamics Environments, The Kluwer Academic Publisher, 2002.
27. Y. Jin and J. Branke, "Evolutionary Optimization in Uncertain Environments-A Survey," IEEE Trans. On Evolutionary Computation, vol. 9. no. 3. pp. 303-317, June 2005.
28. J.O. Hinze, Turbulance, McGraw-Hill, New York, 1995.
29. H. Ishida, T. Nakamoto, and T. Mpriizumi, "Remote Sensing of Gas/Odor Source Localization and Concentartion Using Mobile System," Sensors and Actuators B 49, pp. 52-57, 1998.
30. J.A. Farrel et all, "Filament-based atmospheric dispersion model to achieve short timescale structure of odor plumes," Environment Fluid Mechanics, vol. 2, pp. 143-169, 2002.
31. R.T. Carde and A. Mafra-Neto, "Effect of pherornone plume structure on moth orientation to pheromone," In R. T. Carde and A. K. Minks, editors, Perspectives on Insect Pheromones. New Frontiers, pages 275-290, Chapman and Hall, N.Y., 1996.
32. J.H. Belanger and M.A. Willis, "Adaptive control of odor guided locomotion: Behavioral flexibility as an antidote to environmental unpredictability," Adaptive Behavior, vol. 4, pp. 217-253, 1996.
33. U. Bhalla and J.M. Bower, "Multi-day recording from olfactory bulb neurons in awake freely moving rats: Spatial and temporally organized variability in odor-ant response properties," J. of Computational Neuroscience, vol. 4, pp. 221-256, 1997.
34. J. Atema. "Eddy chemotaxis and odor landscapes: Exploration of nature with animal sensors," Biological Bull, vol. 191, pp. 129-138, 1996.
35. M.J. Weissburg, "From odor trails to vortex streets: Chemo and mechauo sensory orientation in turbulent and laminar flows," In M. Lehrer, editor, Orientation and Communication in Arthropods, pages 215-246. Birkhauser, Basel, 1997.