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We present an optical/inertial data fusion system for motion tracking of the robot manipulator, which is proved to be more robust and accurate than a normal optical tracking system (OTS). By data fusion with an inertial measurement unit (IMU), both robustness and accuracy of OTS are improved. The Kalman filter is used in data fusion. The error distribution(More)
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