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Visual Control Using Projective Kinematics

Andreas Ruf 1 Frederick Martin 1 Bart Lamiroy 1 Radu Horaud 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper presents a new approach to controlling a robot from video-feedback. In contrast to classical approaches, the entire system is modeled by means of projective geometry. For the robot?s geometry in particular, we introduce a new formalism ?projective kinematics?. As a result, motions in joint- and image-space can be related without metric calibration, and a corresponding visual control law can be derived. We present experiments for projective robot calibration and visual servoing, both using uncalibrated cameras.
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Submitted on : Tuesday, May 3, 2011 - 9:24:32 AM
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  • HAL Id : inria-00590124, version 1



Andreas Ruf, Frederick Martin, Bart Lamiroy, Radu Horaud. Visual Control Using Projective Kinematics. 9th International Symposium on Robotics Research (ISRR '99), Oct 1999, Snowbird, United States. pp.97-104. ⟨inria-00590124⟩



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