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Title: Information based search for an atmospheric release using a mobile robot: algorithm and experiments
Authors: Hutchinson, Michael
Liu, Cunjia
Chen, Wen-Hua
Keywords: Source term estimation
Informative path planning
Mobile robot
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Citation: HUTCHINSON, M., LIU, C. and CHEN, W-H., 2018. Information based search for an atmospheric release using a mobile robot: algorithm and experiments. IEEE Transactions on Control Systems Technology, doi:10.1109/TCST.2018.2860548.
Abstract: Finding the location and strength of an unknown hazardous release is of paramount importance in emergency response and environmental monitoring, thus it has been an active research area for several years known as source term estimation. This paper presents a joint Bayesian estimation and planning algorithm to guide a mobile robot to collect informative measurements, allowing the source parameters to be estimated quickly and accurately. The estimation is performed recursively using Bayes’ theorem, where uncertainties in the meteorological and dispersion parameters are considered and the intermittent readings from a low-cost gas sensor are addressed by a novel likelihood function. The planning strategy is designed to maximize the expected utility function based on the estimated information gain of the source parameters. Subsequently, this paper presents the first experimental result of such a system in turbulent, diffusive conditions, in which a ground robot equipped with a low-cost gas sensor responds to the hazardous source stimulated by incense sticks. The experimental results demonstrate the effectiveness of the proposed estimation and search algorithm for source term estimation based on a mobile robot and a low-cost sensor.
Description: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Sponsor: This work was supported by the UK Ministry of Defence via the Defence and Security Accelerator under grant number ACC101517; Prof. W.-H. Chen’s involvement was also supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant number EP/K014307/1.
Version: Published
DOI: 10.1109/TCST.2018.2860548
URI: https://dspace.lboro.ac.uk/2134/34221
Publisher Link: https://doi.org/10.1109/TCST.2018.2860548
Related Resource: https://doi.org/10.17028/rd.lboro.7472900
ISSN: 1558-0865
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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