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  <titleInfo>
    <title>Automated guided vehicle forklift tracking in the smart factory</title>
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  <name type="personal">
    <namePart>Myat Myet Thwe Aung</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Attaphongse Taparugssanagorn</namePart>
    <role>
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    </role>
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  <name type="personal">
    <namePart>Chantri Polprasert</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Juthatip Wisanmongkol</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Thai Samsung</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>AIT Scholarships</namePart>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2023</dateIssued>
    <issuance>continuing</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>Automated Guided Vehicles (AGVs) are becoming increasingly popular in smart facto ries due to the abilities to improve logistical flow and reduce labor costs. This report rep resents the design and development of Internet of Things (IoT) based automated guided  vehicle forklift tracking system that was conducted during the three months of intern ship at the National Electronics and Computer Technology Center. This system utilizes  two TFMini-SLiDARsensorsmountedontheforklift and ESP32 microcontroller. One  sensor is used for object detection in the vicinity of the forklift while the other sensor is  used for load position. The use of sensors is a common approach in AGV research. The  sensors are connected to an ESP32, and the programs are written in Arduino IDE and  uploaded to the ESP32. The codes are designed to read data from the sensors, establish  MQTTcommunication and publish data to MQTT brokers for monitoring. The system  aims to improve the efficiency of the material handling process of the factory by inte grating real-time shop floor monitoring and analytics systems with AGV based material  transportation. Although the system is still under development, it has the potential to  revolutionize the way the AGVs are operated. The project{u2019}s implementation could be  extended to other AGV applications in smart factories, such as AGV route planning,  navigation approaches, and AGV system capacity calculations for further enhancement  of the efficiency and productivity of smart factories.</abstract>
  <note>A Internship study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Telecommunications</note>
  <note>Internship Report (M. Eng.) - Asian Institute of Technology, 2023</note>
  <subject authority="lcsh">
    <topic>Internet of things</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Automated guided vehicle systems</topic>
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      <title>Internship Report ; no. TC-23-01</title>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B23922</identifier>
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