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
Link To Document