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
fDate :
6/1/2011 12:00:00 AM
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;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2011.940996