Odor Localization Sub Tasks: A Survey

Authors

  • Nyayu Latifah Husni Electrical Engineering, State Polytechnic of Sriwijaya
  • Ade Silvia Electrical Engineering, State Polytechnic of Sriwijaya
  • Siti Nurmaini Robotic and Control Research Lab, Faculty of Computer Science, University of Sriwijaya
  • Irsyadi Yani Mechanical Engineering Department, Faculty of Engineering, University of Sriwijaya

Abstract

This paper discusses about the sub tasks of odor localization research. Three steps of odor localization, i.e. Plume finding, plume tracking/tracing, and source declaration are explained. The difficulty of plume finding is discussed. Farrell’s Filamentous and Pseudo-Gaussian plume models that have been analyzed by previous researcher are presented. Some approaches used in plume tracking/tracing based on advection/turbulent and the estimation of odors’ distribution are provided. The advantages of source declaration are showed. Some problems occur in plume finding become a great consideration for the future research.

References

Ali Marjovi, JoãoNunes, Pedro Sousa, Ricardo FariaLino Marques, “An Olfactory-Based Robot Swarm Navigation Method,” IEEE International Conference on Robotics and Automation, pp. 4958-4963, 2010.

A.T. Hayes, AlcherioMartinoli, Rodney M. Goodman, “Swarm Robotic Odor Localization: Off-Line Optimization and Validation with Real Robot,” IEEE/RSJ International Conference, pp. 1073-1078, 2001.

IritGazit et al. “A simple system for the remote detection and analysis of sniffing in explosives detection dogs,” Behaviout Research MethodsInstruments and Compters, pp 82-89, 2003.

Hiroshi Ishida, Akito Kobayashi, TakamichiNakamoto, and ToyosakaMoriizumi, “Three-Dimensional Odor Compass,”, IEEE Transactions on Robotics and Automation, vol. 15, No. 2. pp 251-257.

Thomas Lochmatter, Xavier Raemy, Loïc Matthey, SaurabhIndra and Alcheriomartinoli, “A Comparison of Casting and Spiraling Algorithmn for Odor Source Localization in Laminar Flow,” Robotic and Automation. ICRS 2008 IEEE International Conference, pp. 1138-1143.

Hiroshi Ishida, Yuta Wada, and HarukaMatsukara. Chemical Sensing in Robotic Application: A Review. IEEE Sensors Journal, Vol. 12, No.11, November 2012. pp 3163-3173

G. Kowadlo and R. A. Russell, “Robot Odor Localization: A Taxonomy and survey,”, Int. J. Robot Res., vol. 27, no. 8, pp. 869-894, 2008.

A.T. Hayes, AlcherioMartinoli, Rodney M. Goodman, “Distributed Odor Source Localization,” IEEE Sensor. June 2002.

Li, W.; Farrell, J.A.; Pang, S.; Arrieta, R.M, “Moth-inspired chemical plume tracing on an autonomous underwater vehicle,” IEEE Trans. Robot, vol. 22, pp. 292-307, 2006.

Nyayu latifah Husni, SitiNurmaini, IrsyadiYani, Electrical Engineering Science and Informatics Conference, 2015.

Ali Marjovi and Linomarquest “Optimal spatial Formation of Swarm Robottic Gas Sensors in Odor Plume Finding,” Auton Robot, vol. 35, pp. 93-109, 2013.

Ring T. Cardé and Mark A. Willis, “Navigational Strategies Used by Insects to Find Distant, Wind-Borne Sources of Odor,” J Chem Ecol. Springer, 2008.

Ali Marjovi and Linomarquest, “Optimal Coverage of Multiple Robotic Gas Sensors in Finding Odor Plumes,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.

John Murtis, Joseph S. Elkinton and Ring T. Carde. Annu. Rev. Entomol. 1992. 37:505-32 Copyright © 1992 by Annual Reviews Inc. All rights reserved.

BrankoRistic∗, AjithGunatilaka, Ralph Gailis, Alex Skvortsov, “Bayesian likelihood-free localisation of a biochemical source using multiple dispersion models,”. Land Division Defence Science and Technology OrganisationAustralia , May 27, 2014.

Sutton. Micrometereology. McGraw-Hill. New York. 1953.

J. A. Farrell, J. Murlis, X. Long, W. Li, and R. T. Cardé, “Filamentbased atmospheric dispersion model to achieve short time-scale structure of odor plumes,” Environ. Fluid Mech, vol. 2. no.1-2, pp. 143-169,

Xiao-Bao Jiang, Qing-HaoMeng, Member, IEEE, Yang Wang, Ming Zeng, Member, IEEE, and Wei Li, Member, IEEE, “Numerical Simulation of Odor Plume in Indoor Ventilated Environments for Studying Odor Source Localization with Mobile Robots,”Proceedings of the 2012 IEEE. International Conference on Robotics and Biometics, December 11-14, 2012, Guangzhou, China.

Jones, C. D., “On the Structure of Instantaneous Plumes in the Atmosphere,” J. Hazardous Mater, pp. 87-112, 1983.

A. Lilienthal, A. Loutfi, T. Duckett, Airborne chemical sensing with mobile robots, Sensors 6 (11). pp. 1616-1678. 2006

Jianhua Zhang, Dunwei Gong, Yong Zhang, “A niching PSO-based multi-robot cooperation method for localizing odor sources,”Neurocomputing. Elsevier, pp. 308-317, 2014.

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,” Sensor and Actuators A, vol. l

, pp. 153-157, 1994.

H. Ishida, TakamichiNakamoto, and ToyosakaMoriizumi, “of Odor Compass,” Study. Proceeding of the 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent System, pp. 222-226, 1996.

ToyosakaMoriizumi and Hiroshi Ishida, “Robotic Systems to Track Chemical Plumes,”, IEE, pp. 537-540, 2002.

HarukaMatsukara, Hironori Hashiguchi, and Hiroshi Ishida, “Olfactry Search Behavior of Human Wearing Olfactory Assist Mask,” IEEE, 2014.

DimitriZarzhitsky and Diana F. Spears, “Swarm Approach to Chemical Source Localization,” Systems, man and cybernetics. IEEE conference, pp.1435-1440, 2005.

DimitriZarzhitsky and Diana F. Spears, “Swarms for chemical plume tracing,”In proceeding of the IEEE Swarm Intelligence Symp. (SIS), 2005.

DimitriZarzhitsky Diana F. Spears. And William M. Spears. “Distributed robotic approach to chemical plume tracing,” In Proc. Of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2005.

LinoMarquest, UrbanoNunes, and Aníbal T. de Almeida. “Olfactionbased Mobile Robot Navigation,” Thin Solid Film, vol. 418, no. 1, pp 51-58, 2002.

Lino Marques, UrbanoNunes, A.T. de Almeida. “Particle Swarm-based Olfactory guided search. Auton Robot,” Springer, pp 277-287, 2006.

W. Jatmiko, Y. Ikemoto, T. Matsuno, T. Fukuda, and K. Sekiyama. “Distributed Odor Source Localization in Dynamic Environment,”IEEE, 2005.

W. Jatmiko, W. Jovan F, Dhiemas R. Y. S, T. Fukuda, and K. Sekiyama. “Robot Impleenttion for Odor Source Localization Using PSO algorithm,” WSEAS Transactions on Circuits and Systems. pp. 115-125. 2011.

WisnuJatmiko, PetrusMursanto, Benyamin Kusumoputro, KosukeSekiyama, and Toshio Fukuda. “Modified PSO algorithm Based on Flow of Wind for odor ource Localization Problem in Dynamic Environment,” WSEAS transaction on Systems, vol 7, pp. 106-113, 2008.

WisnuJatmiko, W. Pambuko, A. Febrian, et al. “Ranged Subgroup particle swarm optimization for localizing multiple odor sources,”International Journal on Smrt Sensing and Intelligent System, pp. 411-442, 2010.

SitiNurmaini, SitiZaiton M. Hashim, A. Zarkasih, BambangTutuko, and AgusTriadi. “Intelligent Mobile Olfaction of Swarm Robots,”International Journal of Robotics and Automation (IJRA) vol. 2, no. 4, pp. 189-198, 2013.

Jouhyeong Chew and DaisukiKurabayashi. “Quantitative Analysis of the Silk Moth’s Chemical Plume Tracing Locomotion Using a Hierarchical,” Journal of Bionic, pp 268-281, 2014.

Massimo Vergassola, Emmanuel Villermaux& Boris I. Shraiman, “‘Infotaxis’ as a strategy for searching without gradients,”. Nature445, pp. 406-409, 2007.

A. R. G. Ramirez, A. L. Lopez, A. B. Rodriguez, A. D. C. de Albornoz, and E. R. De Pieri. “An infotaxis based odor navigation approach,”Biosignal and Biorobotics Conference (BRC), pp.1-6, 2011.

Qiang Lu and Ping Luo. “A Learning Particle Swarm Optimization Algorithm for Odor Source Localization,” International Journal of Automation and Computing, pp. 371-380, 2014.

G. Kowadlo, R.A Russell, “Improving the robustness of naïve physics airflow mapping using Bayesian reasoning on a multiple hypothesis tree, Robotics and Autonomous Systems,” pp. 723–737, 2009.

Li Ji Gong, Q.H. Meng, Y. Wang, et al., “Odor source localization using a mobile robot in outdoor airflow environments with a particle filter algorithm,” Autonomous Robots 30, pp. 281–292, 2011.

Achim Lilienthal, Holger Ulmer, Holger Fro ̈hlich, Andreas Stu ̈tzle, Felix Werner, Andreas Zell, “Gas Source Declaration with a Mobile Robot,” IEEE International Conference on Robotic and automation (ICRA), pp. 1430-1435, 2004.

Patrick P. Neumann, Victor Hernandez Bennetts, Achim J. Lilienthal, Matthias Bartholmai, and Jochen H. Schiller. “Gas Source Localization with a Micro-Drone using Bio-Inspired and Particle Filter-based Algorithms,” Advanced Robotic, pp. 25-738, 2013.

Goncalo Cabrita and LinoMarquest. “Divergence-based Odor Source Declaration,” Control Conference

(ASCC), 2013 9th Asian, pp. 1-6, 2013.

Meng-Li Cao, Qing-HaoMeng, Member, IEEE, Xing-Wang Wang, Bing Luo, Ming Zeng and Wei Li. “Localization of Multiple Odor Sources via Selective Olfaction and Adapted Ant Colony Optimization Algorithm,” Proceeding of the IEEE International Conference on Robotics and Biomimetics (ROBIO) , 2013.

HaiFengJiu, Jin-Long Li, Shuo Pang, and Bing Han, “Odor Plume Localization with a Pioneer 3 Mobile Robot in an Indoor Airflow Environment,” IEEE, 2014.

Jie Yuan, David Oswald, and Wei Li, “Autonomous Tracking of Chemical Plumes Developed in both diffusive and Turbulrnt Airflow

Environments using Petri Nets,” Expert Systems with Application. Elsevier, 2014.

JouhYeong Chew and Daisuke Kurabayashi. “Quantitative Analysis of the Silk Moth’s Chemical Plume Tracing Locomotion Using a Hierarchical Classification Method,” Journal of Bionic Engineering, vol. 11 pp. 268-281, 2014.

Ji-Gong, Li, et al., “Odor-source searching using a mobile robot in timevariant airflow environments with obstacles,” Control Conference (CCC), 2014 33rd Chinese. IEEE, 2014.

Downloads

Published

2016-06-01

How to Cite

Husni, N. L., Silvia, A., Nurmaini, S., & Yani, I. (2016). Odor Localization Sub Tasks: A Survey. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(3), 101–105. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1010

Issue

Vol. 8 No. 3: Emerging Technologies in Communication and Computer Engineering for Smart City Applications I

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.