Robot Manipulator Calibration Using a Model Based Identification Technique and a Neural Network With the Teaching Learning-Based Optimization

Robot Manipulator Calibration Using a Model Based Identification Technique and a Neural Network With the Teaching Learning-Based Optimization

This paper proposes a new calibration method for enhancing robot positional accuracy of the industrial manipulators. By combining the joint deflection model with the conventional kinematic model of a manipulator, the geometric errors and joint deflection errors can be considered together to increase...

Full description

Bibliographic Details
Main Authors: Phu-Nguyen Le, Hee-Jun Kang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neural network
robot accuracy
robot calibration
teaching-learning-based optimization
Online Access:https://ieeexplore.ieee.org/document/9108287/

Internet

https://ieeexplore.ieee.org/document/9108287/

Similar Items