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

• 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/41146/1/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; http://umpir.ump.edu.my/id/eprint/41146/; https://doi.org/10.1007/978-981-99-8819-8_5

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...