An Iterative Algorithm for Wrist-Mounted Robotic Sensor Calibration with or without External Orientation Measurement

An iterative algorithm for calibration of wrist-mounted robotic sensors is presented. The sensor-wrist calibration can be performed by solving a system of homogeneous transformation equations of the form AiX = XBi, where X is the unknown sensor position relative to the robot wrist, Ai is the ith robot motion, and Bi is the ith sensor motion [1-4]. Unlike existing approaches, the algorithm presented here solves kinematic parameters of X in one stage, thus eliminating error propagations and improving noise sensitivities. Moreover, with the iterative algorithm, the parameters of X are observable even when the rotation part of Bi is unknown. This is important in practice since position is easier to measure than orientation. Comparative simulation studies show that the accuracy performance of the iterative algorithm is, in general, better than that of noniterative two-stage algorithms, regardless whether the orientation part of Bi is used. The approach presented in this paper also has wide applications for wrist-mounted tool calibration.