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An iterative robot-image Jacobian approximation of image-based visual servoing for joint limit avoidance

Siradjuddin, I, McGinnity, TM, Coleman, SA and Behera, Laxmidhar (2012) An iterative robot-image Jacobian approximation of image-based visual servoing for joint limit avoidance. International Journal of Mechatronics and Automation, 2 (4). pp. 227-239. [Journal article]

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DOI: 10.1504/IJMA.2012.050497


In this paper, we propose a new method addressing the robot-image Jacobianapproximation of image-based visual servoing (IBVS) for a redundant manipulator. Therobot-image Jacobian is approximated iteratively and is a model free. A linearised model of therobot-image Jacobian is applied, based on the first order Taylor series approximation. A weightedleast norm solution is induced in a pseudo inverse computation of the approximated robot-imageJacobian. The resulting control law then can be used for visual servoing tasks with joint limitavoidance capability using both a static target or moving target. The self-motion of the robotjoints resolves the redundancy during visual servoing tasks when one or more joints areapproaching their joint limits.A design and stability analysis of the proposed method is discussed in this paper.Simulated and real-time experiments using a 7 DOF PowerCube robot manipulator areconducted. The IBVS is configured using a monovision eye-in-hand system configuration. Thesystem behaviour and performances of the proposed method are presented and analysed.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:24202
Deposited By: Dr Sonya Coleman
Deposited On:26 Nov 2012 10:06
Last Modified:08 May 2013 15:32

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