Title :
Image based visual servoing using algebraic curves applied to shape alignment
Author :
Yazicioglu, Ahmet Yasin ; Calli, Berk ; Unel, Mustafa
Author_Institution :
Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey
Abstract :
Visual servoing schemes generally employ various image features (points, lines, moments etc.) in their control formulation. This paper presents a novel method for using boundary information in visual servoing. Object boundaries are modeled by algebraic equations and decomposed as a unique sum of product of lines. We propose that these lines can be used to extract useful features for visual servoing purposes. In this paper, intersection of these lines are used as point features in visual servoing. Simulations are performed with a 6 DOF Puma 560 robot using Matlab Robotics Toolbox for the alignment of a free-form object. Also, experiments are realized with a 2 DOF SCARA direct drive robot. Both simulation and experimental results are quite promising and show potential of our new method.
Keywords :
algebra; feature extraction; mathematics computing; robot vision; visual servoing; 2 DOF SCARA direct drive robot; 6 DOF Puma 560 robot; Matlab Robotics Toolbox; algebraic curves; feature extraction; image based visual servoing; object boundary modelling; shape alignment; Cameras; Computer vision; Control systems; Equations; Mathematical model; Polynomials; Robots; Shape control; Solid modeling; Visual servoing;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5354310