Chemical Plume Tracing and Odour Source Localisation by Autonomous Vehicles

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.

[1]  Takamichi Nakamoto,et al.  Gas/Odor Plume Tracing Robot , 1999 .

[2]  Frank W. Grasso,et al.  Integration of Flow and Chemical Sensing for Guidance of Autonomous Marine Robots in Turbulent Flows , 2002 .

[3]  Jay A. Farrell,et al.  Biologically inspired chemical plume tracing on an autonomous underwater vehicle , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[4]  Guanrong Chen,et al.  Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems , 2000 .

[5]  Rodney M. Goodman,et al.  Distributed odor source localization , 2002 .

[6]  Giulio Sandini,et al.  Gradient driven self-organizing systems , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[7]  David V. Thiel,et al.  A robotic system to locate hazardous chemical leaks , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[8]  C. Chryssostomidis,et al.  AUV guidance with chemical signals , 1994, Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94).

[9]  F. Grasso Invertebrate-Inspired Sensory-Motor Systems and Autonomous, Olfactory-Guided Exploration , 2001, The Biological Bulletin.

[10]  William M. Spears,et al.  A fluid dynamics approach to multi-robot chemical plume tracing , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[11]  Jelle Atema,et al.  Toward the convergence: robot and lobster perspectives of tracking odors to their source in the turbulent marine environment , 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

[12]  Adel Said Elmaghraby,et al.  A swarm-based fuzzy logic control mobile sensor network for hazardous contaminants localization , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[13]  Robert Sutton,et al.  Design of an unmanned surface vehicle for environmental monitoring , 2006 .

[14]  Andreas Zell,et al.  Gas source declaration with a mobile robot , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[15]  J. Murlis,et al.  Fine‐scale structure of odour plumes in relation to insect orientation to distant pheromone and other attractant sources , 1981 .

[16]  Ron Goodman,et al.  An Autonomous Water Vapor Plume Tracking Robot Using Passive Resistive Polymer Sensors , 2000, Auton. Robots.

[17]  Gaurav S. Sukhatme,et al.  Bacterium-inspired robots for environmental monitoring , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[18]  J. Atema Chemical signals in the marine environment: dispersal, detection, and temporal signal analysis. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[19]  J.A. Farrell,et al.  Chemical plume tracing via an autonomous underwater vehicle , 2005, IEEE Journal of Oceanic Engineering.

[20]  Jay A. Farrell,et al.  Plume mapping via hidden Markov methods , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[21]  Wei Li,et al.  Initial Development and Testing of an Adaptive Mission Planner for a Small Unmanned Underwater Vehicle , 2003 .