Title :
Multi-sensor data fusion in sensor-based control: Application to multi-camera visual servoing
Author :
Kermorgant, Olivier ; Chaumette, François
Author_Institution :
INRIA Rennes Bretagne Atlantique, Rennes, France
Abstract :
A low-level sensor fusion scheme is presented for the positioning of a multi-sensor robot. This non-hierarchical framework can be used for robot arms or other velocity-controlled robots, and is part of the task function approach. A stability analysis is presented for the general case, then several control laws illustrate the versatility of the framework. This approach is applied to the multi-camera eye-in-hand/eye-to-hand configuration in visual servoing. Experimental results point out the feasibility and the effectiveness of the proposed control laws. Mono-camera and multi-camera schemes are compared, showing that the proposed sensor fusion scheme improves the behavior of a robot arm.
Keywords :
cameras; manipulators; sensor fusion; stability; velocity control; visual servoing; control laws; low-level sensor fusion scheme; monocamera schemes; multicamera eye-in-hand configuration; multicamera eye-to-hand configuration; multicamera schemes; multicamera visual servoing; multisensor data fusion; multisensor robot positioning; nonhierarchical framework; robot arms; sensor-based control; stability analysis; task function approach; velocity-controlled robots; Cameras; Estimation; Robot vision systems; Stability analysis; Trajectory; multi-camera; multi-sensor; sensor fusion; visual servoing;
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-386-5
DOI :
10.1109/ICRA.2011.5979715