DocumentCode
1866258
Title
Robotic acquisition of deformable models
Author
Lang, Jochen ; Pai, Dinesh K. ; Woodham, Robert J.
Author_Institution
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
Volume
1
fYear
2002
fDate
2002
Firstpage
933
Abstract
We describe techniques for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. A robotic system was developed for measuring deformation, and has been previously reported (Pai et al., 2000, 2001). The present paper describes new techniques for the estimation of deformable models based on discrete Green´s functions, from measurements acquired using stereo vision and a robot arm´s position and force sensors. This kind of robotic measurement presents new challenges for measurement and estimation, that we address here. Our techniques for robotic acquisition of deformable, object models have potential applications in robotics, haptic interfaces, simulation, computer graphics and virtual reality.
Keywords
Green´s function methods; boundary-value problems; elasticity; force measurement; manipulators; matrix algebra; position measurement; robot vision; stereo image processing; computer graphics; deformable models; deformation measurement; deforming object; discrete Greens functions; force sensors; haptic interfaces; observations; position sensors; robot arm; robotic system; simulation; stereo vision; virtual reality; Application software; Deformable models; Force measurement; Force sensors; Green´s function methods; Position measurement; Robot sensing systems; Robot vision systems; Robotics and automation; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
Print_ISBN
0-7803-7272-7
Type
conf
DOI
10.1109/ROBOT.2002.1013476
Filename
1013476
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