Title :
Visual servoing set free from image processing
Author :
Collewet, Christophe ; Marchand, Eric ; Chaumette, Francois
Author_Institution :
INRIA Rennes Bretagne Atlantique, IRISA, Rennes
Abstract :
This paper proposes a new way to achieve robotic tasks by visual servoing. Instead of using geometric features (points, straight lines, pose, homography, etc.) as it is usually done, we use directly the luminance of all pixels in the image. Since most of the classical control laws fail in this case, we turn the visual servoing problem into an optimization problem leading to a new control law. Experimental results validate the proposed approach and show its robustness regarding to approximated depths, non Lambertian objects and partial occlusions.
Keywords :
robot vision; robust control; visual servoing; image pixel luminance; image processing; non Lambertian object; optimization problem; partial occlusion; robotic task; robustness; visual servoing; Cameras; Data mining; Error correction; Image processing; Motion control; Pixel; Robot control; Robotics and automation; Robustness; Visual servoing;
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2008.4543190