Harnessing Machine Learning, Blockchain, and Digital Twin Technology for Advanced Robotics in Manufacturing: Challenges and Future Directions

Harnessing Machine Learning, Blockchain, and Digital Twin Technology for Advanced Robotics in Manufacturing: Challenges and Future Directions

This paper digs into robots’ revolutionary role in the industrial landscape, highlighting present uses and future trends while addressing ongoing problems. It investigates how machine learning is altering industrial processes, increasing efficiency and production while simultaneously highlighting th...

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Bibliographic Details
Main Authors: Muhamad Ridzuan, Radin Muhamad Amin, Abdul Nasir, Abd Ghafar, Norasilah, Karumdin, Ahmad Noor Syukri, Zainal Abidin, Muhammad Nur Farhan, Saniman
Format: Conference or Workshop Item
Language:English
English
Published: Springer Nature 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/41146/
http://umpir.ump.edu.my/id/eprint/41146/1/Harnessing%20Machine%20Learning%2C%20Blockchain%2C%20and%20Digital%20Twin%20Technology%20for%20Advanced%20Robotics%20in%20Manufacturing.pdf
http://umpir.ump.edu.my/id/eprint/41146/2/Harnessing%20Machine%20Learning%2C%20Blockchain%2C%20and%20Digital%20Twin%20Technology%20for%20Advanced%20Robotics%20in%20Manufacturing%20-%20Challenges%20and%20Future%20Directions.pdf

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