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Enhancing Industrial Robotics Performance and Security With AI and Blockchain Technologies
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Author(s): Deepak Varadam (Ramaiah University of Applied Sciences, India), Sahana P. Shankar (Ramaiah University of Applied Sciences, India), Aryan Bharadwaj (Ramaiah University of Applied Sciences, India), Tanvi Saxena (Ramaiah University of Applied Sciences, India), Sarthak Agrawal (Ramaiah University of Applied Sciences, India)and Shraddha Dayananda (Ramaiah University of Applied Sciences, 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.ch003
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Abstract
Industrial robotics are becoming more widely used, but their performance and security must be urgently enhanced to satisfy the needs of contemporary industrial contexts. This chapter focuses on how AI and blockchain technology might improve industrial robotic systems' performance while guaranteeing strong security precautions. The capabilities of industrial robots are greatly enhanced by AI technologies. Robots may improve their performance, gain new abilities, and adapt to changing circumstances by utilising cutting-edge machine learning techniques. Robots may learn from their experiences thanks to the incorporation of AI, which improves their operational effectiveness, precision, and decision-making abilities. AI enables robots to optimise their performance, spot anomalies, and proactively resolve potential difficulties, resulting in increased production and less downtime. This is done through real-time data analysis and predictive analytics. Incorporating blockchain technology also provides an industrial robotics system with a safe and open framework.
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