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From Insects to Micro Air Vehicles—A Comparison of Reactive Plume Tracking Strategies

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Intelligent Autonomous Systems 13

Abstract

Insect behavior is a common source of inspiration for roboticists and computer scientists when designing gas-sensitive mobile robots. More specifically, tracking airborne odor plumes, and localization of distant gas sources are abilities that suit practical applications such as leak localization and emission monitoring. Gas sensing with mobile robots has been mostly addressed with ground-based platforms and under simplified conditions and thus, there exist a significant gap between the outstanding insect abilities and state-of-the-art robotics systems. As a step toward practical applications, we evaluated the performance of three biologically inspired plume tracking algorithms. The evaluation is carried out not only with computer simulations, but also with real-world experiments in which, a quadrocopter-based micro Unmanned Aerial Vehicle autonomously follows a methane trail toward the emitting source. Compared to ground robots, micro UAVs bring several advantages such as their superior steering capabilities and fewer mobility restrictions in complex terrains. The experimental evaluation shows that, under certain environmental conditions, insect like behavior in gas-sensitive UAVs is feasible in real-world environments.

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References

  1. G. Kowadlo and R. A. Russell, "Robot Odor Localization: A Taxonomy and Survey," Int. J. Rob. Res., vol. 27, no. 8, pp. 869–894, 2008.

    Article  Google Scholar 

  2. Y. Kuwana, S. Nagasawa, I. Shimoyama, and R. Kanzaki, "Synthesis of the pheromone-oriented behaviour of silkworm moths by a mobile robot with moth antennae as pheromone sensors." Biosensors and Bioelectronics, vol. 14, no. 2, pp. 195–202, 1999.

    Article  Google Scholar 

  3. F. W. Grasso, T. R. Consi, D. C. Mountain, and J. Atema, “Biomimetic robot lobster performs chemo-orientation in turbulence using a pair of spatially separated sensors: Progress and challenges,” Robotics and Autonomous Systems, vol. 30, pp. 115–131, January 2000.

    Article  Google Scholar 

  4. R. Russell, A. Bab-Hadiashar, R. Shepherd, and G. Wallace, "A comparison of reactive chemotaxis algorithms." in Robotics and Autonomous Systems, vol. 45, pp. 83–97, 2003.

    Article  Google Scholar 

  5. R. Cardé and M. Willis, "Navigational Strategies Used by Insects to Find Distant, Wind-Borne Sources of Odor," Journal of Chemical Ecology, vol. 34, pp. 854–866, 2008. DOI: 10.1007/s10886-008-9484-5.

    Article  Google Scholar 

  6. V. H. Bennetts, A. J. Lilienthal, P. Neumann, and M. Trincavelli, "Mobile Robots for Localizing Gas Emission Sources on Landfill Sites: Is Bio-Inspiration the Way to Go?," Frontiers in Neuroengineering, vol. 4, no. 00020, 2012.

    Google Scholar 

  7. K. a. Justus, R. T. Cardé, and A. S. French, "Dynamic properties of antennal responses to pheromone in two moth species." Journal of neurophysiology, vol. 93, pp. 2233–9, Apr. 2005.

    Google Scholar 

  8. T. Lochmatter, Bio-Inspired and Probabilistic Algorithms for Distributed Odor Source Localization using Mobile Robots. Ph.D. Thesis, EPFL, Lausanne, Switzerland, February 2010.

    Google Scholar 

  9. H. Ishida, K. Suetsugu, T. Nakamoto, and T. Moriizumi, "Study of autonomous mobile sensing system for localization of odor source using gas sensors and anemometric sensors," Sensors and Actuators A, vol. 45, pp. 153–157, 1994.

    Article  Google Scholar 

  10. P. P. Neumann, V. Hernandez Bennetts, A. J. Lilienthal, M. Bartholmai, and J. H. Schiller, “Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms,” Advanced Robotics, vol. 27, no. 9, pp. 1–14, 2013.

    Google Scholar 

  11. P. P. Neumann, Gas Source Localization and Gas Distribution Mapping with a Micro-Drone. PhD thesis, Freie Universitt Berlin, Örebro University, 2013.

    Google Scholar 

  12. P. Neumann, S. Asadi, A. J. Lilienthal, M. Bartholmai, and J. Schiller, "Micro-Drone for Wind Vector Estimation and Gas Distribution Mapping," IEEE Robotics and Automation Magazine, 2012.

    Google Scholar 

  13. V. Braitenberg, Vehicles: Experiments in Synthetic Psychology. Cambridge, MA, USA: The MIT Press, February 1986.

    Google Scholar 

  14. A. Lilienthal and T. Duckett, "Experimental Analysis of Gas-Sensitive Braitenberg Vehicles," Advanced Robotics, vol. 18, pp. 817–834, 2004.

    Article  Google Scholar 

  15. S. Pashami, S. Asadi, and A. J. Lilienthal, "Integration of OpenFOAM Flow Simulation and Filament-Based Gas Propagation Models for Gas Dispersion Simulation." in Proceedings of the Open Source CFD International Conference, (Munich, Germany), 2010.

    Google Scholar 

  16. A. Lilienthal and T. Duckett, "A Stereo Electronic Nose for a Mobile Inspection Robot," in Proceedings of the IEEE International Workshop on Robotic Sensing (ROSE), (Örebro, Sweden), IEEE, 2003.

    Google Scholar 

  17. B. I. Shraiman and E. D. Siggia, "Scalar Turbulence," Nature, vol. 405, pp. 639–646, 2000.

    Article  Google Scholar 

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Acknowledgments

The authors thank the participating colleagues from BAM and Örebro University. They also express their gratitude to BMWi (MNPQ Program; file number 28/07) and Robotdalen (Gasbot; project number 8140) for funding the research.

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Correspondence to Patrick P. Neumann .

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Neumann, P.P., Bennetts, V.H., Lilienthal, A.J., Bartholmai, M. (2016). From Insects to Micro Air Vehicles—A Comparison of Reactive Plume Tracking Strategies. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_110

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  • DOI: https://doi.org/10.1007/978-3-319-08338-4_110

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-08338-4

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