Preface xxi Acknowledgement xxvii Part 1: Fundamentals 1 1 Cobots for Industry 5.0 Transformation 3 Ahmed F. Siddiqui, Aditya J. Paul, Sushruta Mishra and S. Balamurugan 1.1 Introduction 4 1.2 Related Works 5 1.3 IoT for Industries 7 1.4 Issues with Cobots in Industry 5.0 8 1.5 Cobots in Industries 9 1.6 Automation and Cobots 11 1.7 Conclusion 13 References 14 2 Cobots as an Enabling Technique for Industry 5.0: A Conceptual Framework 19 Swati Lipsa and Ranjan Kumar Dash 2.1 Introduction 20 2.2 Industry 5.0 at a Glance 21 2.3 Industry 4.0 vs. Industry 5.0 23 2.4 Key Differences Between Robots and Cobots 25 2.5 Cobots as an Enabling Technique for Industry 5.0 26 2.6 The Contribution of Cobots Across Different Sectors 28 2.6.10 Food Processing 31 2.7 A Conceptual Cobot–Based Cyber-Physical System 32 2.8 The Risk and Security Issues with Respect to Cobots and Their Mitigations 37 2.9 Conclusion 39 References 40 3 Role of Cobots and Industrial Robots in Industry 5.0 43 M. Makeshkumar, M. Sasi Kumar, J. Anburaj, S. Ramesh Babu, E. Vembarasan and R. Sanjiv 3.1 Introduction 44 3.2 Role of Cobots 45 3.3 Programming Flowchart 46 3.4 Objectives of Research in Cobots 47 3.5 Capabilities and Features of Cobots for Industrial Applications 48 3.6 Industrial Developments and Different Degrees of Collaboration by Cobots 50 3.7 Cobot Applications 51 3.8 Challenges Faced by Cobots 54 3.9 Economic Impact of Cobots 55 3.10 Components Required 56 3.11 Integration of Cobots with Other Technologies 58 3.12 Discussion 59 3.13 Future Scope 60 3.14 Conclusion 60 References 61 4 The Evolution of Cobots in Intelligent Transportation Systems 65 Rahul Jethwa, Rohit Raj Pradhan, Sushruta Mishra and S. Balamurugan 4.1 Introduction 66 4.2 Uncovering Challenges in Intelligent Transportation System 68 4.3 The Role and Application of Cobots in Manufacturing and Logistics 69 4.4 Advancing Technologies Facilitating Robot and Cobot Operations in Intelligent Transportation Systems 71 4.5 Redefining Smart Transportation: The Synergy of Robotics, Cobots, and Predictive Analytics in ITS 72 4.6 A Comparative Analysis of Cobot and Predictive Protocols in Enhancing Safety and Sustainability in ITS 77 4.7 Advanced Analytics and Insights in Intelligent Transportation Systems 80 4.8 Conclusion 82 References 83 5 Low/No-Code Software Development of Cobots Using Advanced Graphical User Interface 85 N. L. Padma Swati, S. Vanshita Gupta, Vallidevi Krishnamurthy, Sujithra @ Kanmani and Surendiran Balasubramanian 5.1 Introduction 86 5.2 Cobots 89 5.3 Design of Low/No-Code–Based Cobot Development 90 5.4 Graphical User Interface Features 94 5.5 RPA vs. Low Code No Code in Cobot Development: “Low Code or RPA? Who Wins?” 97 5.6 Conclusion 102 5.7 Pros and Cons 102 References 105 6 Future Workforce for Industry 5.0 107 Huzina Saheal and Sheikh Sajid Mohammad 6.1 Introduction 108 6.2 Underlying Principles of Industry 5.0 109 6.3 Benefits for Workers in Industry 5.0 111 6.4 Challenges for Workers in Industry 5.0 113 6.5 Industry 5.0 and Employee Skills 114 6.6 Issues Related to Integration of Robots into Organizations 117 6.7 Considerations for Integration of Humans and Smart Machines in Industry 5.0 121 6.8 Reskilling and Upskilling the Workforce for Industry 5.0 123 6.9 Conclusion 125 References 126 Part 2: Applications 131 7 Intelligent Robots and Cobots: Concepts and Applications for Industry 5.0 Transformation 133 G. Ganesh Kumar and S. Kanakaprabha 7.1 Introduction 134 7.2 Systematic Review 138 7.3 Concepts of Intelligent Robots and Cobots 142 7.4 Benefits of Intelligent Robots and Cobots 145 7.5 Application Areas 147 7.6 Challenges and Considerations 150 7.7 Future Prospects and Impacts 152 7.8 Conclusion 154 References 155 8 Artificial Intelligence–Driven Cobots for Innovative Industry 5.0 Workforce 159 S. K. Manju Bargavi, K. R. Tejashvar and K.R. Tejashwini 8.1 Introduction 160 8.2 Literature Review 162 8.3 Revolution of Industry 5.0 163 8.4 Robotic Collaboration 166 8.5 Technological Issues with AI in the Cobot Age of Industry 5.0 169 8.6 Conclusion 173 References 174 9 Cobot Collaboration in the Healthcare Industry 177 V. Gopala Krishnan, R. Jayamurugan, P. Sakthivel and M. Gowtham 9.1 Introduction 178 9.2 Cobots and Their Role 178 9.3 Impact of Cobot 179 9.4 The Challenges of Deploying Cobots at Scale 180 9.5 Cobot Background 180 9.6 Benefits of Cobots 181 9.7 The Need for Cobot Regulation Frameworks 184 9.8 The Hardware Sector will be Led by Robotic Arms and Sensors 185 9.9 Testing in Laboratories and Care for Patients Have a Lot of Possibilities 185 9.10 APAC Significant Gains 186 9.11 Human Factors and Errors 186 9.12 Robots Lending a Hand During the COVID-19 Outbreak 187 9.13 Universal Robots Cobots in Healthcare 187 9.14 What Role Can Cobots Play in Enhancing Healthcare Brand Experiences? 189 9.15 The Rise of the Health Companion 191 9.16 Cobots are Revolutionizing the Field of Medicine 194 9.17 Manufacturing of Medical Devices 196 9.18 Applications Outside of Healthcare 196 9.19 Next Steps of Cobot 197 9.20 Conclusion 198 References 199 10 Robotic Arm for Industry Automation 203 Sanjeev Vyaas S., Shamsudeen Babu G., Raghulnath S. S., Manikandan P. and Joel E. 10.1 Introduction 203 10.2 Robotic Arm and Their Role in Industry 204 10.3 Desof Robotic Arm 206 10.4 Construction of Robotic Arm 207 10.5 Mechanism of a Robotic Arm 209 10.6 Working of Robotic Arm 213 10.7 How Robotic Arm are Automated 214 10.8 Industrial Automated Robotic Arm Application 216 10.9 Future Scope 217 10.10 Conclusion 218 References 218 11 Cloud-Based Cobots for Industry 5.0: A Human-Centric Solution 221 Arvind Kumar and Richa Vijay 11.1 Introduction 222 11.2 Web 5.0 224 11.3 Applications and Benefits of Industry 5.0 225 11.4 Industry 5.0 Poses the Following Opportunities and Challenges 227 11.5 What Does Industry 5.0 Mean for your Strategy? 232 11.7 A Cloud-Based Cobot System Typically Consists of Several Key Components 235 11.8 Robot Collaboration Rather Than Competition 236 11.9 Web 5.0–Enabled Technologies and Cloud-Connected Robots 237 11.10 Security and Data Privacy Concerns in Cloud-Based Cobot Systems 238 11.11 6G Mobile Telecommunications 240 11.12 Case Studies of Successful Implementation of Cloud-Based Cobots in Industry 5.0 241 11.13 Challenges and Future Considerations for the Integration of Cloud-Based Cobots in Industry 5.0 242 11.14 Conclusion 243 References 244 12 Aviation Bots for Decongesting Airports 247 Saptarshi Paul Abbreviations 248 12.1 Introduction 248 12.2 Aviation Resources 250 12.3 Understanding Real-Time Results 251 12.4 Resource Sharing and Sourcing 251 12.5 Current Aviation Bots and Their Limitations 252 12.6 Future Bots in Aviation 263 12.7 Conclusion 263 References 264 Part 3: Challenges 267 13 Cobot-Aided System for Hydroponically Grown Plants 269 Oliver Joel G., B. Jafrin Rosary, Vallidevi Krishnamurthy, Sujithra @ Kanmani and Surendiran Balasubramanian 13.1 Introduction 270 13.2 Hydroponic System 271 13.3 Cobot 273 13.4 Cobot-Aided Hydroponic System 275 13.5 iPONICS: IoT-Based Monitoring and Control System for Hydroponics Greenhouses 276 13.6 Existing Literature 276 13.7 IoT-Cobot Integrated System Architecture 283 13.8 Results 287 13.9 Conclusion 289 References 289 14 Data Analytics and Collaborative Robots in Smart Territory: Research Methodology, Applications, and Open Challenges 291 Bipradeep Biswas, Sushruta Mishra and S. Balamurugan 14.1 Introduction 292 14.2 Advancements in Data Analytics for Collaborative Robots 293 14.3 Challenges in Analysis of the Sensory Data 295 14.4 Research Gaps in Cobot-Enabled Data Analytics 297 14.5 Research Methodology in Cobot-Driven Data Analytics 299 14.6 Deployment of Tools and Techniques in Context-Aware Cobots 300 14.7 Provisions of Smart Architecture for Data Analytics in Collaborative Robots 304 14.8 Advanced Sensory-Based Framework for Big Data Analytics 305 14.9 Taxonomical Categorization of Collaborative Cobots 306 14.10 Use Cases of Cobots and Data Analytics 308 14.11 Futuristic Opportunities in Data Analytics for Collaborative Robots 310 14.12 Conclusion 314 References 315 15 Comprehensive Analysis on Design, Working, and Manufacturing of Soft Robots 317 Mithun N. S., Saravanagowri S. P., Sashankh V. R., Rithish Hari G., Nithish Kumar S., Saravanan B. K. and Ramesh Babu S. 15.1 Introduction 318 15.2 Design of Soft Robots 319 15.3 Working and Control of Soft Robots 321 15.4 Composite Soft Robots 323 15.5 Graphene Oxide Soft Robots 325 15.6 Application in Minimally Invasive Surgery 326 15.7 Challenges of Soft Robots 328 15.8 Future Scope and Development 329 15.9 Conclusion 332 References 333 16 Investigation on Deployment of Microservices for Swarm Intelligence of Collaborative Robots 337 Abhijit Bora, Jonti Deori and Uzzal Sharma 16.1 Introduction 338 16.2 Related Work 340 16.3 Objective and Focus of the Work 342 16.4 Experimental Arrangement 344 16.5 Reliability Assessment 350 16.6 Overall Discussion 351 16.7 Conclusion 352 References 352 17 Security Issues and Trends of Industrial Robots and Cobots 355 Samikshya Sarangi, Aswani Kumar Cherukuri, S. Chandramouliswaran, Annapurna Jonnalgadda and Firuz Kamalov 17.1 Introduction 356 17.2 Cobots and Industrial Bots 357 17.3 Security of Cobots and Other Bots 363 17.4 Mitigation Strategies 370 17.5 Conclusions 374 References 374 18 Blockchain Technology for the Cobot’s Cybersecurity Issues 377 B. Manikandan, G. Ganesh Kumar, S. Kanakaprabha, R. Vijaya Kumar Reddy and R. Janani 18.1 Introduction 378 18.2 Literature Review 380 18.3 Introduction to Cybersecurity 382 18.4 Cybersecurity Challenges 383 18.5 Introduction to Blockchain Technology 389 18.6 Security Features of Blockchain in Cobot’s Cybersecurity 390 18.7 Application Areas 393 18.8 Challenges and Considerations Cobot’s Cybersecurity 395 18.9 Conclusion 397 References 398 Index 401

The book provides a comprehensive study of how new technological advances utilize robots and Cobots (collaborative robots that work safely alongside humans) to increase manufacturing efficiency. Industry 5.0 focuses on using collaborative robots, or cobots, enabling users to design with greater freedom. This book, structured into 18 chapters and three sections - Fundamentals; Applications; and Challenges – reflect the current and emerging market trends that shape industrial growth. Each chapter explores how businesses incorporating hardware and software like AI, cognitive computing, blockchain, IIoT, and more—are capitalizing on these innovations to maintain a competitive edge. The research and development in the areas of technology has increased the cost-effectiveness and acceptance of these IoT-enabled devices in many different industries. Various sectors including manufacturing, healthcare, transportation, and agriculture sectors, have begun incorporating robots and cobots into their operations. They are aiming to increase their productivity, reduce the downtime of their equipment, and optimize resource utilization. The individual chapters examine the following subjects: Investigation on Deployment of Microservices for Swarm Intelligence of Collaborative Robots • Cobot-Aided System for Hydroponically Grown Plants • Low/No-Code Software Development of Cobots Using Advanced Graphical User Interface • Role of Cobots Over Industrial Robots in Industry 5.0 Activities • Cobot Collaboration in the Healthcare Industry • Robotic Arm for Industry Automation • Artificial Intelligence–Driven Cobots for Innovative Industry 5.0 Workforce • Comprehensive Analysis on Design, Working, and Manufacturing of Soft Robots • Workforce for Industry 5.0: The Work of Future and the Future of Work • Security Issues and Trends of Industrial Robots and Cobots • Aviation Bots for Decongesting Airports • Self-Contained Study and Evolution of Cobots in Intelligent Transportation Systems • Smart Architecture for Data Analytics in Collaborative Robots • Contribution of Blockchain Technology for the Cobot’s Cybersecurity Issues • Security Issues and Trends of Industrial Robots and Cobots • Cloud-Based Cobots for Industry 5.0: A Human-Centric Solution • Future Workforce for Industry 5.0. Audience The book’s primary audience is researchers and post-graduate students in robotics and cobots, industrial engineers, production and manufacturing engineers working on artificial intelligence and logistics.