Reducing Computational Time in Pixel-Based Path Planning for GMA-DED by Using Multi-Armed Bandit Reinforcement Learning Algorithm

Reducing Computational Time in Pixel-Based Path Planning for GMA-DED by Using Multi-Armed Bandit Reinforcement Learning Algorithm

This work presents an artificial intelligence technique to minimise path planning computer processing time for successful GMA-DED 3D printings. An advanced version of the Pixel space-filling-based strategy family is proposed and developed, using, originally for GMA-DED, an artificially intelligent R...

Full description

Saved in:
Bibliographic Details
Main Authors: Rafael P. Ferreira, Emil Schubert, Américo Scotti
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
3D printing
DED
path planning
artificial intelligence
reinforcement learning
multi-armed bandit problem
Online Access:https://www.mdpi.com/2504-4494/9/4/107
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-4494/9/4/107

Similar Items