Robust algorithm for calibration of robotic manipulator model
This work addresses the need for more precise calibration in industrial robotics, though it appears incremental as it builds on existing weighted least squares methods.
The paper tackles the problem of improving the accuracy of geometrical and elastostatic parameter identification for robotic manipulators by proposing a weighted least squares technique with a new algorithm for assigning weighting coefficients, which accounts for measurement precision variations across directions and workspace, as demonstrated in an industrial robot calibration example.
The paper focuses on the robust identification of geometrical and elastostatic parameters of robotic manipulator. The main attention is paid to the efficiency improvement of the identification algorithm. To increase the identification accuracy, it is proposed to apply the weighted least square technique that employs a new algorithm for assigning of the weighting coefficients. The latter allows taking into account variation of the measurement system precision in different directions and throughout the robot workspace. The advantages of the proposed approach are illustrated by an application example that deals with the elasto-static calibration of industrial robot.