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Gas Source Tracing with a Mobile Robot Using an Adapted Moth Strategy

  • Conference paper
Autonome Mobile Systeme 2003

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

As a sub-task of the general gas source localisation problem, gas souree tracing is supposed to guide a gas-sensitive mobile system towards a souree by using the cues determined from the gas distribution sensed along a driven path. This paper reports on an investigation of a biologically inspired gas source tracing strategy. Similar to the behaviour of the silkworm moth Bambyx mori, the implemented behaviour consists of a fixed motion pattern that realises a local search, and a meehanism that (re-)starts this motion pattern if an increased gas concentration is sensed. While the moth uses the local airftow direction to orient the motion pattern, this is not possible for a mobile robot due to the detection limits of eurrently available anemometers. Thus, an alternative method was implemented that uses an asymmetric motion pattern, which is biased towards the side where higher gas sensor readings were obtained. The adaptated strategy was implemented and tested on an experimental platform. This paper describes the strategy and evaluates its performance in terms of the ability to drive the robot towards a gas souree and to keep it within close proximity of the source.

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References

  1. Peter Biber and Wolfgang Straßer. The Normal Distributions Transform: A New Approach to Laser Scan Matching. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’03), 2003.

    Google Scholar 

  2. C.T. David, J.S. Kennedy, J.S. Ludlow, and J.N. Perry. A Re-Appraisal of Inseet Flight Towards a Point Souree of Wind-Borne Odor. Journ al ofChemical Ecology, 8:1207-1215, 1982.

    Google Scholar 

  3. Julian W. Gardner and Philip N. Bartlett. Electronic Noses-Principles and Applications. Oxford Science Publications, Oxford, 1999.

    Google Scholar 

  4. Elise Hancock. A Primer on Smell. Johns Hopkins Magazine, Electronic Edition-A Special lssue on the Senses, 9, September 1996.

    Google Scholar 

  5. A.T. Hayes, A. Martinoli, and R.M. Goodman. Swarm Robotic Odor Localization. In Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-0l), volume 2, pages 1073–1078, Maui, Hawaii, USA, October 2001.

    Google Scholar 

  6. Hiroshi Ishida, Yukihiko Kagawa, Takamichi Nakamoto, and Toyosaka Moriizumi. Odour-Souree Localization in the Clean Room by an Autonomous Mobile Sensing System. Sensors and Actuators B, 33:115–121, 1996.

    Article  Google Scholar 

  7. Hiroshi Ishida, K. Suetsugu, Takamichi Nakamoto, and Toyosaka Moriizumi. Study of Autonomous Mobile Sensing System for Localization of Odor Source Using Gas Sensors and Anemometric Sensors. Sensors and Actuators A, 45:153–157, 1994.

    Article  Google Scholar 

  8. Ryohei Kanzaki. Self-generated Zigzag Turning of Bombyx Mori Males During Pheromonemediated Upwind Walking. Zoological Science, 9:515–527, 1992.

    Google Scholar 

  9. Ryohei Kanzaki. Behavioral and Neural Basis of Instinctive Behavior in Insects: Odor-Source Searching Strategies without Memory and Learning. Robotics and Autonomous Systems, 18:33–43, 1996.

    Article  Google Scholar 

  10. Ryohei Kanzaki. Coordination of Wing Motion and Walking Suggests Common Control of Zigzag Motor Program in a Male Silkworm Moth. J Comp Physiol A, 182:267–276, 1998.

    Article  Google Scholar 

  11. Svetlana Larionova, Nuno Almeida, Lino Marques, and A. T. de Almeida. Olfactory Coordinated Area Coverage. In Proceedings of the IEEE International Conference on Advanced Robotics (ICAR 2003), pages 501–506, Coimbra, Portugal, 2003.

    Google Scholar 

  12. Achim Lilienthal and Tom Duckett. A Stereo E1ectronic Nose for a Mobile Inspection Robot. In Proceedings of the IEEE International Workshop on Robotic Sensing (ROSE2003), Örebro, Sweden, 2003.

    Google Scholar 

  13. Achim Lilienthal and Tom Duckett. Experimental Analysis of Smelling Braitenberg Vehicles. In Proceedings of the IEEE International Conference on Advanced Robotics (ICAR 2003), pages 375–380, Coimbra, Portugal, 2003.

    Google Scholar 

  14. Achim Lilienthal, Michael R. Wandel, Udo Weimar, and Andreas Zell. Sensing Odour Sources in Indoor Environments Without a Constant Airflow by a Mobile Robot. In Proceedings of the IEEE lnternational Conference on Robotics and Automation (ICRA 2001), pages 4005–4010, 2001.

    Google Scholar 

  15. Roberto Rozas, Jorge Morales, and Daniel Vega. Artificial Smell Detection for Robotic Navigation. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 1991), pages 1730–1733, 1991.

    Google Scholar 

  16. R. A. Russell, L. Kleeman, and S. Kennedy. Using Volatile Chemieals to Help Locate Targets in Complex Environments. In Proceedings of the Australian Conference on Robotics and Automation, pages 87–91, Melbourne, Aug 30–Sept 1 2000.

    Google Scholar 

  17. R. Andrew Russell. Ant Trails-an Example for Robots to Follow? In IEEE Int Conf. Robotics and Automation (ICRA 1999), pages 2698–2703, 1999.

    Google Scholar 

  18. R. Andrew Russell and Anies H. Purnamadjaja. Odour and Airflow: Complementary Senses for a Humanoid Robot. In IEEE Int Conf. Robotics and Automation (ICRA 2002), pages 1842–1847, 2002.

    Google Scholar 

  19. R. Andrew Russell, David Thiel, Reimundo Deveza, and Alan Mackay-Sirn. A Robotic System to Locate Hazardous Chemical Leaks. In IEEE Int Conf. Robotics and Automation (ICRA 1995), pages 556–561, 1995.

    Google Scholar 

  20. R. Andrew Russell, David Thiel, and Alan Mackay-Sim. Sensing Odour Trails for Mobile Robot Navigation. In IEEE Int Conf. Robotics and Automation (ICRA 1994), pages 2672–2677, 1994.

    Google Scholar 

  21. G. Sandini, G. Lucarini, and M. Varoli. Gradient-Driven Self-Organizing Systems. In Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 429–432, Yokohama, Japan, July, 26–30 1993.

    Google Scholar 

  22. Titus Sharpe and Barbara Webb. Simulated and Situated Models of Chemical Trail Following in Ants. In R. Pfeifer, B. Blumberg, J.-A. Meyer, and S.W. Wilson, editors, Proceedings of the 5th Conference on Simulation of Adaptive Behaviour, pages 195–204, 19

    Google Scholar 

  23. E. Stella, F. Musio, L. Vasanelli, and A. Distante. Goal-oriented Mobile Robot Navigation Using an Odour Sensor. In Proceedings of the Intelligent Vehicles Symposium’ 95, pages 147–151, 1995.

    Google Scholar 

  24. Michael R. Wandel, Achim Lilienthal, Tom Duckett, Udo Weimar, and Andreas Zell. Gas Distribution in Unventilated Indoor Environments Inspected by a Mobile Robot. In Proceedings of the IEEE International Conference on Advanced Robotics (ICAR 2003), pages 507–512, Coimbra, Portugal, 2003.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Lilienthal, A., Reimann, D., Zell, A. (2003). Gas Source Tracing with a Mobile Robot Using an Adapted Moth Strategy. In: Dillmann, R., Wörn, H., Gockel, T. (eds) Autonome Mobile Systeme 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18986-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-18986-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20142-7

  • Online ISBN: 978-3-642-18986-9

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