Recent Progress and Trend of Robot Odor Source Localization
Accurate and prompt localization of hazardous release sources ensures a timely emergency response to potential damages. Robot odor source localization is the study of locating the release source based on mobile robots in real‐time, which has been experiencing rapid growth in recent years. This paper...
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Veröffentlicht in: | IEEJ transactions on electrical and electronic engineering 2021-07, Vol.16 (7), p.938-953 |
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creator | Jing, Tao Meng, Qing‐Hao Ishida, Hiroshi |
description | Accurate and prompt localization of hazardous release sources ensures a timely emergency response to potential damages. Robot odor source localization is the study of locating the release source based on mobile robots in real‐time, which has been experiencing rapid growth in recent years. This paper presents a review of this field, focusing on recent progress and development trends. Research works are grouped according to method principles, leading to four categories: reactive methods, heuristic searching methods, probabilistic inference methods, and learning methods. The odor‐source direction and distance prediction via in situ sensing and developments of simulators are also listed separately for discussion. Several outlooks are highlighted at the end. Along with the developments of related fields and practical needs, we believe this field is bound to keep on flourishing in the future. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. |
doi_str_mv | 10.1002/tee.23364 |
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Robot odor source localization is the study of locating the release source based on mobile robots in real‐time, which has been experiencing rapid growth in recent years. This paper presents a review of this field, focusing on recent progress and development trends. Research works are grouped according to method principles, leading to four categories: reactive methods, heuristic searching methods, probabilistic inference methods, and learning methods. The odor‐source direction and distance prediction via in situ sensing and developments of simulators are also listed separately for discussion. Several outlooks are highlighted at the end. Along with the developments of related fields and practical needs, we believe this field is bound to keep on flourishing in the future. © 2021 Institute of Electrical Engineers of Japan. 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Published by Wiley Periodicals LLC.</description><subject>Damage localization</subject><subject>Emergency response</subject><subject>Heuristic methods</subject><subject>heuristic searching</subject><subject>learning methods</subject><subject>Localization</subject><subject>odor source localization</subject><subject>Odors</subject><subject>Probabilistic inference</subject><subject>reactive methods</subject><subject>robot</subject><subject>Robots</subject><subject>Simulators</subject><issn>1931-4973</issn><issn>1931-4981</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWKsHv0HAk4dt8283GzxJaVVYqNR6Dml2IlvWTU22SP30xq548zLzDr-ZefMQuqZkQglh0x5gwjgvxAkaUcVpJlRJT_-05OfoIsYtIaLgZTlCdyuw0PX4Ofi3ADFi09V4HSBV7_DKb3yPl7UP-MXvgwVceWva5sv0je8u0ZkzbYSr3z5Gr4v5evaYVcuHp9l9lVlecJE5qRwVG0VyxaRh0oJlwijLhZWkrjmjThpqLN-AMJTnykrmTMEskUnWBR-jm2HvLviPPcReb5OZLp3ULBeMiuM3Y3Q7UDb4GAM4vQvNuwkHTYn-yUanbPQxm8ROB_azaeHwP6jX8_kw8Q2J5mQU</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Jing, Tao</creator><creator>Meng, Qing‐Hao</creator><creator>Ishida, Hiroshi</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>202107</creationdate><title>Recent Progress and Trend of Robot Odor Source Localization</title><author>Jing, Tao ; Meng, Qing‐Hao ; Ishida, Hiroshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3634-f79f14b905927a27cec24a9c34c70dd321f7a1ac3be4a1359c72fa62c079c7d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Damage localization</topic><topic>Emergency response</topic><topic>Heuristic methods</topic><topic>heuristic searching</topic><topic>learning methods</topic><topic>Localization</topic><topic>odor source localization</topic><topic>Odors</topic><topic>Probabilistic inference</topic><topic>reactive methods</topic><topic>robot</topic><topic>Robots</topic><topic>Simulators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jing, Tao</creatorcontrib><creatorcontrib>Meng, Qing‐Hao</creatorcontrib><creatorcontrib>Ishida, Hiroshi</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEJ transactions on electrical and electronic engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jing, Tao</au><au>Meng, Qing‐Hao</au><au>Ishida, Hiroshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recent Progress and Trend of Robot Odor Source Localization</atitle><jtitle>IEEJ transactions on electrical and electronic engineering</jtitle><date>2021-07</date><risdate>2021</risdate><volume>16</volume><issue>7</issue><spage>938</spage><epage>953</epage><pages>938-953</pages><issn>1931-4973</issn><eissn>1931-4981</eissn><abstract>Accurate and prompt localization of hazardous release sources ensures a timely emergency response to potential damages. 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subjects | Damage localization Emergency response Heuristic methods heuristic searching learning methods Localization odor source localization Odors Probabilistic inference reactive methods robot Robots Simulators |
title | Recent Progress and Trend of Robot Odor Source Localization |
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