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Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot

Ahmed Joubair, Long Zhao, Pascal Bigras, Ilian A. Bonev

Year
2016
Citations
19
Access
Open access

Abstract

The aim of this paper is to improve the position accuracy of a six degree of freedom medical robot. The improvement in accuracy is achieved without the use of any external measurement device. Instead, this work presents a novel calibration approach based on using an embedded force-torque sensor to identify the robot's kinematic parameters and thereby enhance the positioning accuracy. A simulation study demonstrated that our calibration approach is effective, whether or not any measurement noise is present: the position error is improved, inside the robot target workspace, from 12 mm to 0.320 mm, for the maximum values, and from 9 mm to 0.2771 mm, for the mean errors.

Keywords

CalibrationTorqueRobotComputer scienceSimulationEngineeringControl engineeringPhysicsArtificial intelligence

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