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Machine Learning and Blockchain Integration in Industrial Robotics: Challenges and Opportunities
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Author(s): Dankan Gowda V. (BMS Institute of Technology and Management, Bangalore, India), Pullela S. V. V. S. R. Kumar (Aditya College of Engineering, Surampalem, India), Manojkumar S. B. (BGS Institute of Technology, Adichunchanagiri University, India), Aparna Atul Junnarkar (Vishwakarma Institute of Information Technology, India)and Sheetalrani Rukmaji Kawale (Karnataka State Akkamahadevi Women University, India)
Copyright: 2024
Pages: 24
Source title:
AI and Blockchain Applications in Industrial Robotics
Source Author(s)/Editor(s): Rajashekhar C. Biradar (Reva University, India), Geetha D. (Reva University, India), Nikhath Tabassum (Reva University, India), Nayana Hegde (Reva University, India)and Mihai Lazarescu (Politecnico di Torino, Italy)
DOI: 10.4018/979-8-3693-0659-8.ch014
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Abstract
Machine learning and blockchain have the potential to completely change the landscape of industrial robots. Learning and adaptation give robots an edge in functionality and independence. Blockchain, on the other hand, provides a decentralized and secure platform for information exchange and transaction verification. In this chapter, the authors look at the potential benefits and drawbacks of integrating machine learning and blockchain technology for use in manufacturing robots. The study begins with a brief introduction to machine learning, blockchain, and their respective industrial robot applications. Some of the possibilities and advantages that will be covered in the next sections include better data security, more transparent and auditable decision making, and the use of decentralized control systems. The importance of collaboration between academic institutions, businesses, and government agencies is emphasized in order to speed up the process of mainstreaming machine learning and blockchain integration in industrial robots.
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