<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-27T16:25:15Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/14598" metadataPrefix="mods">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/14598</identifier><datestamp>2026-02-03T11:32:57Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><mods:mods xmlns:doc="http://www.lyncode.com/xoai" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Góngora González, Andrés</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>González-Monroy, Javier</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>González-Jiménez, Antonio Javier</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2017-10-06T12:22:32Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2017-10-06T12:22:32Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2017</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">European Conference on Mobile Robotics (ECMR), 2017</mods:identifier>
   <mods:identifier type="uri">http://hdl.handle.net/10630/14598</mods:identifier>
   <mods:abstract>Gas source localization (GSL) is one of the most important and direct applications of a gas sensitive mobile robot, and consists in searching for one or multiple volatile&#xd;
emission sources with a mobile robot that has improved sensing&#xd;
capabilities (i.e. olfaction, wind flow, etc.). This work adresses GSL by employing a teleoperated mobile robot, and focuses on&#xd;
which search strategy is the most suitable for this teleoperated approach. Four different search strategies, namely chemotaxis,&#xd;
anemotaxis, gas-mapping, and visual-aided search, are analyzed&#xd;
and evaluated according to a set of proposed indicators (e.g. accuracy,&#xd;
efficiency, success rate, etc.) to determine the most suitable&#xd;
one for a human-teleoperated mobile robot. Experimental validation is carried out employing a large dataset composed of over 150 trials where volunteer operators had to locate a gas-leak in a virtual environment under various and realistic environmental conditions (i.e. different wind flow patterns and gas source locations). We report different findings, from which we highlight that, against intuition, visual-aided search is not always the best strategy, but depends on the environmental conditions and the operator’s ability to understand how gas distributes.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">by-nc-nd</mods:accessCondition>
   <mods:subject>
      <mods:topic>Robots autónomos</mods:topic>
   </mods:subject>
   <mods:titleInfo>
      <mods:title>Gas Source Localization Strategies for Teleoperated Mobile Robots. An Experimental Analysis</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
</mods:mods>
</metadata></record></GetRecord></OAI-PMH>