• DocumentCode
    265336
  • Title

    Sensor device for intuitively manipulating the heavy material-handling robot

  • Author

    Myeongsu Gil ; Seunghoon Lee ; Min-Sung Kang ; Kyoosik Shin ; Chang-Soo Han

  • Author_Institution
    Dept. of Mechatron. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    527
  • Lastpage
    530
  • Abstract
    As the conditions of working environment at the construction site cannot be typified, intelligence of robot system is considered to be the best solution for a lack of uniformity and homogeneity such as various kinds of unexpected situations or conditions. Precise finishing quality of robot system, pre-fabrication system of construction materials, and undisturbed material circulation system also remains unsolved problems, up to now. Human-robot cooperation technology based applications have been come up for several decades to combine the human´s advanced neural system with robot´s enhanced physical performance. This study proposes the newly-designed sensor device for intuitively manipulating the heavy material-handling robot system through the analysis of conventional method. And the feasibility of virtual coordinate generation algorithm and performance evaluation of the proposed system is verified through the experiments and field-test.
  • Keywords
    human-robot interaction; industrial manipulators; materials handling; sensors; construction materials; finishing quality; heavy material-handling robot; human-robot cooperation technology; manipulator; material circulation system; performance evaluation; sensor device; virtual coordinate generation algorithm; Force; Glass; Performance evaluation; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917519
  • Filename
    6917519