• DocumentCode
    1553979
  • Title

    Furniture Models Learned from the WWW

  • Author

    Mozos, Oscar Martinez ; Marton, Zoltan-Csaba ; Beetz, Michael

  • Author_Institution
    Human-Symbiotic Intell. Robots Lab., Kyushu Univ., Fukuoka, Japan
  • Volume
    18
  • Issue
    2
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    22
  • Lastpage
    32
  • Abstract
    In this article, we investigate how autonomous robots can exploit the high quality information already available from the WWW concerning 3-D models of office furniture. Apart from the hobbyist effort in Google 3-D Warehouse, many companies providing office furnishings already have the models for considerable portions of the objects found in our workplaces and homes. In particular, we present an approach that allows a robot to learn generic models of typical office furniture using examples found in the Web. These generic models are then used by the robot to locate and categorize unknown furniture in real indoor environments.
  • Keywords
    Internet; control engineering computing; furniture; mobile robots; office automation; solid modelling; 3D model; WWW; World Wide Web; autonomous robot; office furniture model; Design automation; Information retrieval; Marketing and sales; Online services; Robot programmig; Shape measurement; Solid modeling; World Wide Web;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2011.940996
  • Filename
    5876205