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  <titleInfo>
    <title>Autonomous navigation in mobile telepresence robots using a kinect sensor and robot operating system</title>
  </titleInfo>
  <name type="personal">
    <namePart>Bhujel, Niraj</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Teerapat Sanguankotchakorn</namePart>
    <role>
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    </role>
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  <name type="personal">
    <namePart>Attaphongse Taparugssanagorn</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Nakamura, Shinichi</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Development Bank-Japan Scholarship Program (ADB-JSP)</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>64 leaves : ill.</extent>
  </physicalDescription>
  <abstract>Autonomous navigation in telepresence robots is a promising technology to enhance communication experience by reducing mental effort of operating robot in remote environment. One of the major challenges in implementing autonomous navigation is huge cost of sensors and reliability of such system. In this research work, autonomous navigation is implemented in TurtleBot using open-source Robot Operating System (ROS) and Kinect sensor. The reliability and accuracy of the implemented autonomous navigation is measured using Benchmark for Robot Indoor Navigation (BRIN) framework. Finally, an architecture is proposed to implement autonomous navigation using smart devices like Google Tango Project that is equipped with gyro-meter, accelerometer and depth sensor making it perfectly suitable for indoor localization.</abstract>
  <note>A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology</note>
  <note>Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2016</note>
  <subject authority="lcsh">
    <topic>Autonomous robots</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Kinect (Programmable controller)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mobile robots</topic>
  </subject>
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    <titleInfo>
      <title>Research studies project report ; no. ICT-16-02</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B08734</identifier>
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