Understanding the potential impact of multiple robots in odor source localization

Distributed Autonomous Robotic Systems 8

Volumn , Issue , 2009, Pages 239-250

  Lochmatter, Thomas ^a   Martinoli, Alcherio ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; BIOMIMETICS; INDUSTRIAL ROBOTS; MULTIPURPOSE ROBOTS; ROBOTICS;

IDEAL PERFORMANCE; MULTI-ROBOT SYSTEMS; MULTI-ROBOT TEAMS; ODOR SOURCE LOCALIZATION; PERFORMANCE DISTRIBUTION; PERFORMANCE METRICES; POTENTIAL IMPACTS; ROBOTIC SIMULATOR;

ELECTRONIC NOSE;

EID: 84866349854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-00644-9_21     Document Type: Conference Paper

References (23)

1. Balkovsky, E., Shraiman, B.I.: Olfactory search at high reynolds number. PNAS 99(20), 12589-12593 (2002)
2. Berlanger, J.H., Willis, M.A.: Adaptive control of odor-guided locomotion: behavioral flexibility as an antidote to environmental unpredictability. Adaptive Behavior 4(3-4), 217-253 (1996)
3. Farrell, J.A., Murlis, J., Long, X., Li, W., Cardé, R.T.: Filament-based atmospheric dispersion model to achieve short time-scale structure of odor plumes. Environmental Fluid Mechanics 2, 143-169 (2002)
4. Ferri, G., Caselli, E., Mattoli, V., Mondini, A., Mazzolai, B., Dario, P.: A biologically-inspired algorithm implemented on a new highly flexible multi-agent platform for gas source localization. In: Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BIOROB 2006) (February 2006)
5. Gage, D.W.: Many-robot MCM search systems. In: Proceedings of the Autonomous Vehicles in Mine Countermeasures Symposium, Vol. 9, pp. 56-64 (Appril 1995)
6. Hayes, A.T., Martinoli, A., Goodman, R.M.: Distributed odor source localization. IEEE Sensors Journal 2(3), 260-271 (2002)
7. Hayes, A.T., Martinoli, A., Goodman, R.M.: Swarm robotic odor localization: Off-line optimization and validation with real robots. Robotica 21, 427-441 (2003)
8. Ishida, H., Nakamoto, T., Moriizumi, T., Kikas, T., Janata, J.: Plume-tracking robots: A new application of chemical sensors. Biological Bulletin (200), 222-226 (2001)
9. Jatmiko, W., Sekiyama, K., Fukuda, T.: A pso-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment. IEEE Computational Intelligence Magazine, 37-51 (May 2007)
10. Kuenen, L.P.S., Rowe, H.C.: Cowpea weevil flights to a point source of female sex pheromone: analyses of flight tracks at three wind speeds. Physiological Entomology 31(2), 103 (2006)
11. Li, W., Farrell, J.A., Cardé, R.T.: Tracking of fluid-advected odor plumes: Strategies inspired by insect orientation to pheromone. Adaptive Behavior 9(3-4), 143-170 (2001)
12. Li, W., Farrell, J.A., Pang, S., Arrieta, R.M.: Moth-inspired chemical plume tracing on an autonomous underwater vehicle. IEEE Transactions on Robotics 22(2), 292-307 (2006)
13. Lilienthal, A.J., Reiman, D., Zell, A.: Gas source tracing with a mobile robot using an adapted moth strategy. In: Autonome Mobile Systeme (AMS), Fachgespräch, GDI, Vol. 18, pp. 150-160 (December 2003)
14. Lochmatter, T., Martinoli, A.: Simulation experiments with bio-inspired algorithms for odor source localization in laminar wind flow. In: Proceedings of the The Seventh International Conference on Machine Learning and Applications (ICMLA 2008). IEEE, Los Alamitos (2008)
15. Lochmatter, T., Martinoli, A.: Tracking odor plumes in a laminar wind field with bio-inspired algorithms. In: Proceedings of the 11th International Symposium on Experimental Robotics 2008 (ISER 2008). Springer Tracts in Advanced Robotics (2010), Athens, Greece (July 2008) (to appear)
16. Lochmatter, T., Raemy, X., Matthey, L., Indra, S., Martinoli, A.: A comparison of casting and spiraling algorithms for odor source localization in laminar flow. In: Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA 2008), pp. 1138-1143 (May 2008)
17. Long, M., Gage, A., Murphy, R., Valavanis, K.: Application of the distributed field robot architecture to a simulated demining task. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation (ICRA 2005), pp. 3193-3200 (April 2005)
18. Marques, L., Nunes, U., de Almeida, A.T.: Particle swarm-based olfactory guided search. Autonomous Robots 20(3), 277-287 (2006)
19. Michel, O.: Webots: Professional mobile robot simulation. International Journal of Advanced Robotic Systems 1(1), 39-42 (2004)
20. Russell, R.A.: Odour Detection by Mobile Robots. World Scientific Series in Robotics and Intelligent Systems, vol. 22. World Scientific Publishing Company, Singapore (1999)
21. Settles, G.S.: Sniffers: Fluid-dynamic sampling for olfactory trace detection in nature and homeland security - the 2004 freeman scholar lecture. Journal of Fluids Engineering. Transactions of the ASME 127, 189-218 (2005)
22. Vergassola, M., Villermaux, E., Shraiman, B.I.: 'Infotaxis' as a strategy for searching without gradients. Nature 445, 406-409 (2007)
23. Webb, B., Harrison, R.R., Willis, M.A.: Sensorimotor control of navigation in arthropod and artificial systems. Arthropod Structure and Development 33, 301-329 (2004)