Li, X.; Cheah, C.C., "Adaptive regional feedback control of robotic manipulator with uncertain kinematics and depth information," American Control Conference (ACC), 2012 , vol., no., pp.5472,5477, 27-29 June 2012 doi: 10.1109/ACC.2012.6315007
Abstract:
While much progress has been achieved in taskspace control of robot, existing task-space sensory feedback
control methods fail when the sensor is out of working range. In this paper, we propose an adaptive regional feedback control strategy that enables the robot to start from an initial position outside the field of view and leave the field of view during the movement. The robot kinematics is partitioned into a known internal portion and an unknown external portion. Cartesianspace feedback is used for region reaching control of the known
portion and vision feedback is used for tracking control of the unknown portion. The dual feedback information is integrated into a unified controller without designing multiple controllers and switching between them. We shall show that the adaptive controller can transit smoothly from Cartesian-space feedback to vision feedback in the presence of uncertainties in robot dynamics, kinematics and depth information. Experimental results are presented to illustrate the performance of the proposed control method.
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PublisherCopyrights
Funding Info:
Agency For Science, Technology And Research of Singapore (A*STAR), (Reference No. 1121202014)