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  <doc>
    <id>5173</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>310</pageFirst>
    <pageLast>324</pageLast>
    <pageNumber/>
    <edition/>
    <issue>Special Issue April 2008</issue>
    <volume>90</volume>
    <type>article</type>
    <publisherName>International Frequency Sensor Association, IFSA</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Slip Prediction through Tactile Sensing</title>
    <abstract language="eng">This paper introduces a new way to predict contact slip using a resistive tactile sensor. The prototype sensor can be used to provide intrinsic information relating to geometrical features situated on the surface of grasped objects. Information along the gripper finger surface is obtained with a measurement resolution dependant on the number of discrete tactile elements. The tactile sensor predicts the partial slip of a tactile surface by sensing micro vibrations in tangential forces which are caused by an expansion of the slip regions within the contact area. The location of the local slip is not specified but its occurrence can be predicted immediately following micro vibration detection. Predictive models have been used to develop a set of rules which predict the slip based on fluctuations in tactile signal data.&#13;
&#13;
 </abstract>
    <parentTitle language="eng">Sensors &amp; Transducers</parentTitle>
    <identifier type="issn">1726-5479</identifier>
    <identifier type="url">https://www.sensorsportal.com/HTML/DIGEST/march_08/Special_Issue_Vol_90/P_SI_48.pdf</identifier>
    <enrichment key="opus.import.date">2022-08-10T13:23:02+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
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