Data-Driven LightGBM Controller for Robotic Manipulator

Data-Driven LightGBM Controller for Robotic Manipulator

This paper introduces a data-driven approach employing the Light Gradient Boosting Machine (LightGBM) algorithm as a controller for robotic manipulators. By harnessing data-driven techniques and machine learning, the method captures the intricate dynamics, uncertainties, and nonlinearities inherent...

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Bibliographic Details
Main Author: Dimitri Mahayana
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Robotic manipulators
data-driven control
machine learning
LightGBM
exact feedback linearization
Online Access:https://ieeexplore.ieee.org/document/10473025/

Internet

https://ieeexplore.ieee.org/document/10473025/

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