The Levenberg-Marquardt (LM) algorithm is a nonlinear parameter learning algorithm that
converges accurately and quickly. This paper demonstrates for the first time to our …

The measurement accuracy of the precision instruments that contain rotation joints is
influenced significantly by the rotary encoders that are installed in the rotation joints. Apart …

Robot position accuracy plays an important role in advanced industrial applications. In this
paper, a new calibration method for enhancing robot position accuracy is proposed. In order …

Robots facilitate a critical category of equipment to implement intelligent production.
However, due to extensively inevitable factors like structural errors and gear tolerances, the …

This paper describes an approach based on neural networks (NNs) for geometrical error
modeling and compensation for precision motion systems. A laser interferometer is used to …

Linear displacement measuring systems, like optical encoders, are widely used in various
precise positioning applications to form a full closed-loop control system. Thus, the …

Featured Application This study aims to improve the absolute position error of robot
manipulators for vehicle assembly line without using an expensive external apparatus …

This study addresses the problem of nonlinear error predictive compensation to achieve
high positioning accuracy for advanced industrial applications. An improved calibration …

A robot manipulator calibration method is proposed using a camera-based measurement
system and a neural network algorithm. The position errors at various points within the …

To solve the problem of low absolute position accuracy for industrial robots in application, a
positional error compensation method combing error similarity and RBF neural networks is …