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  <identifier identifierType="DOI">10.18453/rosdok_id00002006</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Liu, Hui</creatorName>
      <givenName>Hui</givenName>
      <familyName>Liu</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1043649859</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Intelligent strategies for mobile robotics in laboratory automation</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2017</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">620 Engineering &amp; allied operations</subject>
  </subjects>
  <dates>
    <date dateType="Created">2017</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00002006</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-diss2017-0170-6</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">In this thesis a new intelligent framework is presented for the mobile robots in laboratory automation, which includes: a new multi-floor indoor navigation method is presented and an intelligent multi-floor path planning is proposed; a new signal filtering method is presented for the robots to forecast their indoor coordinates; a new human feature based strategy is proposed for the robot-human smart collision avoidance; a new robot power forecasting method is proposed to decide a distributed transportation task; a new blind approach is presented for the arm manipulations for the robots.</description>
  </descriptions>
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