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Chemical Plume Tracing and Odour Source Localisation by Autonomous Vehicles

  • W. Naeem (a1), R. Sutton (a1) and J. Chudley (a1)


Autonomous vehicles with an ability to trace chemical plumes can be instrumental in tasks such as detection of unexploded ordnance, search for undersea wreckage and environmental monitoring. As a consequence, use of autonomous vehicles to perform chemical plume tracing has received an increasing interest from the research community in recent years. Owing to the diversity of applications and ambient fluid environment of the plumes, there are numerous plume tracing strategies and approaches. This paper reviews two main approaches and a number of strategies that have been successfully implemented to track air or water borne plumes in order to locate odour sources using autonomous vehicles. The first strategy considered is the biomimetic approach that offers excellent models for the development of robotic systems. Strategies inspired by lobsters and bacterium are the main focus in this study. The second scheme considers parallelization of the search procedure by employing a multi-robot approach. This approach has the advantage of utilising a group of smaller and simpler communicating robots which are capable of performing a collaborative search of the plume.


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Arrieta, R., Farrell, J., Li, W. and Pang, S. (2003). Initial Development and Testing of an Adaptive Mission Planner for a Small Unmanned Underwater Vehicle. Proceedings of the 22 ndInternational Conference on Offshore Mechanics and Artic Engineering, Cancun, Mexico.
Atema, J. (1995). Chemical Signals in the Marine Environment: Dispersal, Detection and Temporal Signal Analysis. In Proceedings of National Academy of Sciences Vol. 92, pp. 6266.
Belanger, J. and Willis, M. A. (1998). Biologically-Inspired Search Algorithms for Locating Unseen Odor Sources. In Proceedings of the IEEE International Symposium on Intelligent Control pp. 265270.
Chen, G., Pham, T. (2001). Introduction to Fuzzy Sets, Fuzzy Logic and Fuzzy Control Systems, CRC Press.
Consi, T. R., Atema, J., Goudey, C. A., Cho, J. and Chryssostomidis, C. (1994). AUV Guidance with Chemical Signals. In Proceedings of the 1994 Symposium on Autonomous Underwater Vehicle Technology, pp. 450455.
Cowen, E. and Ward, K. (2002). Chemical Plume Tracing, Environmental Fluid Mechanics Issue 2: pp. 17.
Cui, X., Hardin, T., Ragade, R. K., and Elmaghraby, A. S. (2004). A Swarm-Based Fuzzy Logic Control Mobile Sensor Network for Hazardous Contaminants Localization, The IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2004), Fort Lauderdale, Florida, US.
Dhariwal, A., Sukhatme, S. and Aristides, A. G. (2004). Bacterium-Inspired Robots for Environmental Monitoring In proceedings of 2004 IEEE International Conference on Robotics and Automation New Orleans, LA. Vol. 2 pp. 14361443.
Farrell, J., Li, W., Pang, S. and Arrieta, R. (2003a). Chemical Plume Tracing Experimental Results with a REMUS AUV, Oceans 2003 Marine Technology and Ocean Science Conference, San Diego, CA, US, pp. 962968.
Farrell, J., Pang, S. and Li, W. (2003b). Plume Mapping via Hidden Markov Methods, IEEE Transactions on System, Man, and Cybernetics Part B, 33, 6, 850863.
Farrell, J. A., Pang, S., Li, W. and Arrieta, R. M. (2004). Biologically Inspired Chemical Plume Tracing on an Autonomous Underwater Vehicle. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Hague, Netherlands, pp. 59915996.
Farrell, J. A., Pang, S. and Li, W. (2005). Chemical Plume Tracing via an Autonomous Underwater Vehicle. IEEE Transactions of Oceanic Engineering, 30, 2, April.
Grasso, F., Basil, J. and Atema, J. (1998). Towards the Convergence: Robot and Lobster Perspectives of Tracking Odors to their Source in the Turbulent Marine Environments. In Proceedings of the IEEE ISIC/CIRA/ISAS Joint Conference Gaithersburg, MD, pp. 259263.
Grasso, F. (2001). Invertebrate-Inspired Sensory-Motor Systems and Autonomous, Olfactory-Guided Exploration. Biological Bulletin 200, pp. 160168.
Grasso, F. and Atema, J. (2002). Integration of Flow and Chemical Sensing for Guidance of Autonomous Marine Robots in Turbulent Flows. Environmental Fluid Mechanics Issue 2: pp. 95114.
Hayes, A. T., Martinoli, A., and Goodman, R. M. (2002). Distributed Odor Source Localization. IEEE Sensors, Special Issue on Artificial Olfaction, Vol. 2, No. 3, pp. 260271.
Ishida, H., Nakamoto, T. and Morizumi, T. (1999). Gas/Odor Plume Tracing Robots. Sensor Update Vol. 6 Issue 1. pp. 397418.
Kazadi, S., Goodman, R., Tsikata, D., Green, D. and Lin, H. (2000). An Autonomous Water Vapour Plume Tracking Robot Using Passive Resistive Polymer Sensors. Autonomous Robots Vol. 9 Issue 2 pp. 17188.
Lilienthal, A., Ulmer, H., Frohlich, H., Stutzle, A., Werner, F. and Zell, A. (2004). Gas Source Declaration with a Mobile Robot. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004), New Orleans, USA, pp. 14301435.
Murlis, J. and Jones, C. D. (1981). Fine-scale Structure of Odour Plumes in Relation to Insect Orientation to Distant Pheromones and other Attractant Sources. Physiol. Entomol. 6: pp. 7186.
Naeem, W., Xu, T., Sutton, R. and Chudley, J. (2005). Design of an unmanned surface vehicle for environmental monitoring. Presented in the World Maritime Technology Conference, March 6–10. London, UK
Russell, R. A., Thiel, D., and Mackay-Sim, A. (1995). A Robotic System to Locate Hazardous Chemical Leaks. Proceedings of the IEEE International Conference on Robotics and Automation, Nagoya, Japan, pp. 556561.
Sandini, G., Lucarini, G., and Varoli, M. (1993). Gradient Driven Self-Organizing Systems. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Yokohama, Japan, pp. 429432.
Vickers, N. (2000). Mechanisms of Animal Navigation in Odour Plumes. Biological Bulletin, 198. pp. 203212.
Wei, L., Farrell, J. and Carde, R. (2001). Tracking of Fluid-Advected Odour Plumes: Strategies Inspired by Insect Orientation to Pheromone. Adaptive Behavior, Vol. 9, 3–4. pp. 142170.
Zarzhitsky, D., Spears, D., Thayer, D. and Spears, W. (2004). A Fluid Dynamics Approach to Multi-Robot Chemical Plume Tracing. Proceedings of the Third International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-04) pp. 14761477.


Chemical Plume Tracing and Odour Source Localisation by Autonomous Vehicles

  • W. Naeem (a1), R. Sutton (a1) and J. Chudley (a1)


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