• DocumentCode
    1768749
  • Title

    Towards on-site autonomous robotic floor tiling of mosaics

  • Author

    De Hong Jung ; Jaeheung Park ; Schwartz, M.

  • Author_Institution
    Dept. of Mechatron. Eng., Univ. of Brasilia, Brasilia, Brazil
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    Humanoid robots have been a central research topic of robotics for the last 30 years. However, it has not been until the last decade that humanoids became a viable commercial product. While not full scale, robots such as NAO provide a large range of motion with multiple sensors for the environment. With these new robots, this paper explores their application in the manufacturing industry. Floor tiling, a still manual procedure on-site, requires significant time in both awkward positions and bent over. These two movements are main causes of back injury, the leading cause of early retirement and overall injuries in the construction industry. This paper explores the efficacy of using current commercial robots for on-site autonomous floor tiling through specific experiments and methods in programming integrated systems. A novel system for combining the automation of manufacturing of mosaics and the automation of on-site square floor tiling is presented.
  • Keywords
    construction industry; humanoid robots; industrial robots; injuries; manufacturing industries; sensors; tiles; NAO; commercial robots; construction industry; humanoid robots; injuries; manufacturing industry; on-site autonomous robotic mosaics floor tiling; on-site square floor tiling automation; programming integrated systems; Image edge detection; Industries; Robots; Autonomous; Construction; Humanoid; Robotic Manufacturing; Tiling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987959
  • Filename
    6987959