The ever-evolving industrial landscape poses challenges for businesses, particularly in the field of robotics. Performance optimization, data security, and harnessing emerging technologies are crucial for staying competitive. Traditional approaches fall short in addressing these complexities, leaving industries searching for innovative solutions.

AI and Blockchain Applications in Industrial Robotics is an exceptional book which presents the transformative potential of combining artificial intelligence (AI) and blockchain technologies to revolutionize industrial robotics.

The book provides comprehensive insights into how AI enhances predictive models and pattern recognition while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. It offers practical applications, use cases, and real-world examples that cater to postgraduate students, researchers, industry professionals, undergraduate students, and freelance developers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics.

With AI and Blockchain Applications in Industrial Robotics, many industries can overcome the challenges they face in optimizing performance, ensuring data security, and embracing the potential of emerging technologies. This book serves as a beacon of knowledge, equipping readers with the tools and understanding to implement AI and blockchain solutions, driving innovation, efficiency, and competitiveness in the industrial sector.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Automation
Blockchain
Data Security
Efficiency
Emerging Technologies
Industrial Robotics
Innovation
Performance Optimization
Predictive Models
Synergy
Technology
Transparency
Trust
Use Cases

Reviews & Statements

The book "AI and Blockchain Applications in Industrial Robotics" explores the correlation between artificial intelligence (AI) and blockchain technologies and their impact on industrial robotics. It covers a range of topics, including improving robotic capabilities, optimizing supply chain management, addressing ethical, legal, and social implications, and identifying future trends and challenges. The book offers insights and guidance on integrating AI and blockchain in industrial robotics. It presents theoretical frameworks and real-world applications, demonstrating how this integration can revolutionize various industries and create new opportunities for businesses. The book is suitable for a wide audience, including students, researchers, industry professionals, and freelancers. It shows how AI and blockchain can provide innovative solutions for security, transparency, efficiency and intelligence.

– Mihai Lazarescu, Politecnico di Torino

The Blockchain technology is a distributed ledger that stores blocks of transactions in a sequential order. Because this data is immutable and it is a shared ledger in digital format, it is nearly impossible to alter, providing greater security and trust. Blockchain can also track the data transaction from its origin, thus making it even more secure to identify any errors in tangible and intangible transactions. Artificial intelligence (AI), on the other hand, excels in predictive models and pattern recognition. The combination of AI and blockchain can be a powerful combination to achieve a faster, trustworthy, transparent and authentic model with greater security and efficiency. These two technologies combined can be applied to Industrial Robotics can help its enhanced performance and security.

– Nayana Hegde, REVA University

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Editor/Author Biographies

Dr. Rajashekhar Biradar serves as Vice Cancellor in the School of Electronics and Communication Engineering at REVA University.

Dr. Geetha Devanagavi serves as a Professor in the School of Computing and Information Technology at REVA University.

Dr. Nikhath Tabassum completed her Ph.D. from REVA University in 2021. She has published in reputed journals and conferences. Her research area includes Wireless Sensor Networks, Artificial Intelligence and Machine Learning.

Nayana Hegde did her Bachelors in Electronics and Communication from Karnataka University, India in year 2001 and Masters in Digital Communication and Networking from VTU, India in 2014. She did her PhD in Electronics and Communication and Engineering from REVA University Bangalore, India in year 2022. She is currently Assistant Professor in School of Electronics and Communication Engineering, REVA University Bangalore, India. Before that she worked as Lecturer in Impact College of Engineering Bangalore from 2011-2012. Before that she worked for Infosys Technologies Bangalore from 2003 to 2009. She was Graduate Engineer Trainee at NTTF from 2002-2003. Her area of research is: wireless communication, vehicular network.

Mihai T. Lazarescu (M’92) is an Assistant Professor at Politecnico di Torino (Italy), where he also received his Ph.D. in Electronics and Communications in 1998. His industrial experience includes working as a Senior Engineer at Cadence Design Systems and founding several startups. His research interests include the application of machine learning techniques to various domains, such as WSN/IoT platforms, ubiquitous environmental sensing, efficient embedded neural networks, indoor human localization, edge and leaf IoT data processing, and high-level HW/SW co-design and synthesis. He has published more than 60 scientific papers, 4 books and holds several international patents.

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