Ricardo A. Tauro

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This paper presents and evaluates a new technique for the calibration and compensation of static error of force/torque (F/T) sensors. The presented approach is based on a learning algorithm. A Modified Nearest Neighbor algorithm is presented to compensate non-linear errors, produced by the weight of the end effector or by the internal offset of a wrist(More)
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