Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm

Improving Robot Precision Positioning Using a Neural Network Based on Levenberg Marquardt–APSO Algorithm

This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s absolute position. After the EKF optimizes...

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Bibliographic Details
Main Authors: Ha Xuan Nguyen, Hung Quang Cao, Ty Trung Nguyen, Thuong Ngoc-Cong Tran, Hoang Ngoc Tran, Jae Wook Jeon
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Accelerated particle swarm optimization
robot calibration
Levenberg-Marquardt
neural network
Online Access:https://ieeexplore.ieee.org/document/9438679/

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