Odor source localization using a mobile robot in outdoor airflow environments with a particle filter algorithm
This paper discusses odor source localization (OSL) using a mobile robot in an outdoor time-variant airflow environment. A novel OSL algorithm based on particle filters (PF) is proposed. When the odor plume clue is found, the robot performs an exploratory behavior, such as a plume-tracing strategy, to collect more information about the previously unknown odor source. In parallel, the information collected by the robot is exploited by the PF-based OSL algorithm to estimate the location of the odor source in real time. The process of the OSL is terminated if the estimated source locations converge within a given small area. The Bayesian-inference-based method is also performed for comparison. Experimental results indicate that the proposed PF-based OSL algorithm performs better than the Bayesian-inference-based OSL method.
KeywordsOdor source localization Olfaction Mobile robot Particle filter
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- Holland, O., & Melhuish, C. (1996). Some adaptive movements of animats with single symmetrical sensors. In Proceedings of 4th conference on simulation and adaptive behavior—from animals to animats (Vol. 4, pp. 55–64). Google Scholar
- Kahn, H. (1956). Use of different Monte Carlo sampling techniques. In H. A. Meyer (Ed.), Symposium on Monte Carlo methods (pp. 146–190). New York: Wiley. Google Scholar
- Li, F., Meng, Q. H., Bai, S., Li, J. G., & Popescu, D. (2008). Probability-PSO algorithm for multi-robot based odor source localization in ventilated indoor environments. In Lecture notes in computer science: Vol. 5314. Lecture notes in artificial intelligence and lecture notes in bioinformatics (pp. 1206–1215). Google Scholar
- Li, J. G., Meng, Q. H., Li, F., Zeng, M., & Popescu, D. (2009). Mobile robot based odor source localization via particle filter. In Proceedings of IEEE international conference on decision and control (pp. 2984–2989). Google Scholar
- Russell, R. A., Thiel, D., & Mackay-Sim, A. (1994). Sensing odour trails for mobile robot navigation. In Proceedings of IEEE international conference on robotics and automation (pp. 2672–2677). Google Scholar
- Russell, R. A., Thiel, D., Deveza, R., & Mackay-Sim, A. (1995). A robotic system to locate hazardous chemical leaks. In Proceedings of IEEE international conference on robotics and automation (pp. 556–561). Google Scholar
- Sandini, G., Lucarini, G., & Varoli, M. (1993). Gradient-driven self-organizing systems. In Proceedings of IEEE/RSJ international conference on intelligent robots systems (pp. 429–432). Google Scholar