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  <identifier identifierType="DOI">10.18453/rosdok_id00001896</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Ghandour, Mazen</creatorName>
      <givenName>Mazen</givenName>
      <familyName>Ghandour</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1132069505</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Secure indoor navigation and operation of mobile robots</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2017</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">000 Generalities, Science</subject>
  </subjects>
  <dates>
    <date dateType="Created">2017</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00001896</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-diss2017-0060-4</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">In future work environments, robots will navigate and work side by side to humans. This raises big challenges related to the safety of these robots. In this Dissertation, three tasks have been realized: 1) implementing a localization and navigation system based on StarGazer sensor and Kalman filter; 2) realizing a human-robot interaction system using Kinect sensor and BPNN and SVM models to define the gestures and 3) a new collision avoidance system is realized. The system works on generating the collision-free paths based on the interaction between the human and the robot.</description>
  </descriptions>
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