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Submit a ProposalDesign and Optimization of Mobile Robotics for Industry 5.0
 | Edited by Rathishchandra R. Gatti, Chandra Singh, Ajith B.S., and E. Fantin Irudaya Raj Copyright: 2025 | Expected Pub Date:2025// ISBN: 9781394384983 | Hardcover | 424 pages Price: $225 USD  |
One Line Description
Harness the future of automation with this comprehensive guide, offering an in-depth look at how next-generation mobile robotics are driving the transition to a human-centered and sustainable Industry 5.0.
Audience
Robotics engineers, automation system designers, smart manufacturing specialists, technology consultants, academics, and policymakers in robotics, AI, and industrial engineering
Robotics engineers, automation system designers, smart manufacturing specialists, technology consultants, academics, and policymakers in robotics, AI, and industrial engineering
Description
Design and Optimization of Mobile Robotics for Industry 5.0 delivers an in-depth, interdisciplinary look at how next-generation mobile robotic systems are enabling the evolution from Industry 4.0 to a more human-centered, resilient, and sustainable Industry 5.0. This book addresses the technical, ethical, and societal dimensions of robotics technologies, from design principles and autonomous navigation to human-robot interaction and AI integration. It brings together cutting-edge research and real-world case studies across smart manufacturing, agriculture, healthcare, and industrial automation. Readers will explore topics such as digital twins, IoT-enhanced robotics, sensor fusion, and collaborative robotics. With contributions from leading global experts, this volume serves as a comprehensive guide for those involved in designing, deploying, or studying robotics systems that align with the goals of Industry 5.0.
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Design and Optimization of Mobile Robotics for Industry 5.0 delivers an in-depth, interdisciplinary look at how next-generation mobile robotic systems are enabling the evolution from Industry 4.0 to a more human-centered, resilient, and sustainable Industry 5.0. This book addresses the technical, ethical, and societal dimensions of robotics technologies, from design principles and autonomous navigation to human-robot interaction and AI integration. It brings together cutting-edge research and real-world case studies across smart manufacturing, agriculture, healthcare, and industrial automation. Readers will explore topics such as digital twins, IoT-enhanced robotics, sensor fusion, and collaborative robotics. With contributions from leading global experts, this volume serves as a comprehensive guide for those involved in designing, deploying, or studying robotics systems that align with the goals of Industry 5.0.
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Author / Editor Details
Rathishchandra R. Gatti, PhD is the Dean of Research and Development and professor in the Departments of Mechanical Engineering and Robotics and Automation at the Sahyadri College of Engineering and Management with over 20 years of experience. He has published four patents, seven books, and more than 40 peer-reviewed publications. His research interests include robotics, AI in engineering, physical AI, and machine data analytics.
Rathishchandra R. Gatti, PhD is the Dean of Research and Development and professor in the Departments of Mechanical Engineering and Robotics and Automation at the Sahyadri College of Engineering and Management with over 20 years of experience. He has published four patents, seven books, and more than 40 peer-reviewed publications. His research interests include robotics, AI in engineering, physical AI, and machine data analytics.
Chandra Singh is an assistant professor in the Department of Electronics and Communication Engineering at Nitte University. He has published more than 35 articles and six patents, and edited ten books. His research interests include optical networking and communication, wireless communication, Internet of Things, and machine learning.
Ajith B.S., PhD is an associate professor in the Department of Mechanical and Robotics Engineering and Associate Dean of Intellectual Property Rights at the Sahyadri College of Engineering and Management. He has published more than 18 journal papers, presented ten conference papers, authored many patents, and contributed to a number of books. His research focuses on biofuels, renewable energy, combustion, and heat transfer.
E. Fantin Irudaya Raj, PhD is a professor of Electrical and Electronics Engineering at the Aditanar College of Engineering with over a decade of experience. He has published more than 35 journal publications, 50 conference papers, patents, and book contributions. His research interests include power electronic drives, Internet of Things, smart cities, image processing, and AI techniques.
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Table of Contents
Preface
Part 1: Foundations of Industry 5.0 and Emerging Technologies
1. Advancing Design Principles for Industry 5.0 with a Focus on Human-Centered Innovation
Dankan Gowda V., Algubelly Yashwanth Reddy, V. Nuthan Prasad, Ved Srinivas and K.D.V. Prasad
1.1 Introduction
1.2 Literature Survey
1.3 Core Principles of Human-Centered Design
1.4 Technological Advancements Enabling Human-Centered Innovation
1.5 Methodologies for Implementing Human-Centered Innovation
1.6 Challenges and Barriers to Adoption
1.7 Results and Discussion
1.8 Future Directions for Research and Practice
1.9 Conclusion
References
2. Methods and Mechanics for Robot Navigation in Different Environments
Canute Sherwin, Chandra Singh and Prashanth Kumar
2.1 Introduction
2.2 Path Planning
2.3 Mobile Robot Navigation Mapping
2.3.1 Visual Mapping and Positioning
2.3.2 LiDAR Mapping and Positioning
2.3.3 Sensor Fusion Mapping and Positioning
2.4 Machine Learning
2.5 Large Language Models (LLMs)
2.5.1 Robot’s Environment Perception
2.5.2 High Level Planning
2.5.3 Low Level Planning
2.5.4 Human–Robot Interaction
2.5.5 Multi-Robot Coordination
2.6 Deep Learning Approaches
2.7 Reinforcement Learning (RL)
2.8 Conclusions
References
3. Detailed Investigation of Autonomous Vehicles in the Context of Industry 5.0
C. Sweetline Jenita, E. Fantin Irudaya Raj, S. Sivananaithaperumal and N. Pon Subathira
3.1 Introduction
3.2 Self-Driving Systems – Overview
3.3 Sensors in Autonomous Vehicle
3.3.1 Camera
3.3.2 LiDAR
3.3.3 Radar
3.4 Actuators
3.5 Decision-Making Algorithms and Controllers in Self-Driving Systems
3.6 Conclusion
References
4. Emerging Technologies in Industrial Automation with Robotic Applications
M. Appadurai, E. Fantin Irudaya Raj, M. Chithambara Thanu and P. Gayathri
4.1 Introduction
4.2 Robotics in Additive Manufacturing
4.3 Robotic Welding Systems
4.4 Digital Twins for Robotic System Optimization
4.5 Robotics in Hazardous Environments
4.5.1 Robotics in Nuclear Environments
4.5.2 Robotics in Space Exploration
4.5.3 Robotics in Deep Sea Exploration
4.5.4 Robotics in Disaster Response
4.6 Robotic Maintenance Systems for Predictive Analytics
4.7 Mobile Robotics in Dynamic Industrial Environments
4.8 Conclusion
References
Part 2: Robotics and Mobile Integration in Industry 5.0
5. IoT and Mobile Robotics Integration for Transforming Smart Manufacturing in Industry 5.0
Dankan Gowda V., Priya Dongare-Jadhav, Noushad Yashan, Madan Mohanrao Jagtap and Suganthi Neelagiri
5.1 Introduction
5.1.1 Context and Motivation
5.1.2 Role of IoT and Mobile Robotics
5.1.3 Objectives of the Chapter
5.2 Industry 5.0: A Paradigm Shift
5.2.1 Industry 5.0 Vs. Industry 4.0
5.2.2 Core Principles of Industry 5.0
5.2.3 Technological Advancements Driving Industry 5.0
5.3 The Role of IoT in Smart Manufacturing
5.3.1 IoT Architecture
5.3.2 Applications of IoT in Manufacturing
5.3.3 IoT-Enabled Smart Factory
5.4 Mobile Robotics in Manufacturing
5.4.1 Types of Mobile Robots
5.4.2 Key Functions of Mobile Robotics
5.4.3 Human-Robot Collaboration
5.4.4 Technological Integration
5.5 Integration of IoT and Mobile Robotics in Smart Manufacturing
5.5.1 Challenges in Integration
5.5.2 Framework for Integration
5.5.3 Data Sharing and Real-Time Communication
5.5.4 Use Case: Real-Time Monitoring and Control
5.6 Case Studies and Applications
5.6.1 Global Industry Examples
5.6.2 Benefits Achieved
5.6.3 Lessons Learned
5.7 Results and Discussion
5.7.1 Key Findings from Literature and Case Studies
5.7.2 Impact on Manufacturing Efficiency and Flexibility
5.7.3 Human-Centric Manufacturing and Worker Empowerment
5.7.4 Sustainability and Environmental Impact
5.8 Challenges in the Integration of IoT and Mobile Robotics
5.8.1 Technical and Operational Barriers
5.8.2 Scalability Issues
5.8.3 Standardization and Interoperability
5.9 Future Trends and Research Directions
5.9.1 AI and Machine Learning Integration
5.9.2 5G and Edge Computing
5.9.3 Cyber-Physical Systems and Digital Twins
5.10 Conclusion
References
6. Innovative Approaches to Designing and Optimizing Mobile Robotics for Advanced Collaboration in Industry 5.0
Mandeep Kaur, P. Arockia Mary, Dankan Gowda V., L.R. Sujithra and Priya Dongare Jadhav
6.1 Introduction
6.2 Technological Foundations of Mobile Robotics in Industry 5.0
6.3 Literature Survey
6.4 Proposed Innovative Approaches to Mobile Robotics Design
6.5 Mobile Robotics for Advanced Collaboration
6.6 Case Studies
6.7 Results and Discussion
6.8 Conclusion
References
7. Applications and Challenges of Digital Twins in Industry 5.0 for Advanced Industrial Systems
Dankan Gowda V., Galiveeti Poornima, Kottala Sri Yogi, Madan Mohanrao Jagtap and Shekhar R.
7.1 Introduction
7.2 Literature Survey
7.3 Framework of Digital Twins in Industry 5.0
7.4 Applications of Digital Twins
7.5 Challenges in Implementing Digital Twins
7.6 Results and Discussion
7.7 Conclusion
References
8. Mobile Robotics for Agriculture: Design and Implementation of an Autonomous Robo-Snake
Chandra Singh, Rathishchandra R. Gatti, K.V.S.S.S.S. Sairam and D.K. Sreekantha Karanam Desai
8.1 Introduction
8.2 Literature Survey
8.3 Problem Statement
8.4 Objectives
8.5 Methodology
Conclusion
References
Part 3: Human-Robot Collaboration and Interaction
9. Synergistic Thinking: Human–Robot Partnership for Smarter Decisions
Chandra Singh, Rathishchandra R. Gatti, Ganesha H. S. Harve, K.V.S.S.S.S. Sairam, Durga Prasad and Pavithra Poornima
9.1 Introduction to Human–Robot Collaboration in Mobile Robotics
9.1.1 Importance of AI Algorithms in Mobile Robotics
9.2 Fundamentals of Decision Making in Mobile Robots
9.3 Emerging Technologies in Mobile Robotics
9.4 Cooperation Strategies
9.5 Applications in Mobile Robotics
9.6 Conclusion
Bibliography
10. Collaborative Robotics in Factory 5.0: Redefining Modern Production
Chandra Singh, Rathishchandra R. Gatti, Ganesha H. S. Harve, K.V.S.S.S.S. Sairam, Durga Prasad and Pavithra Poornima
Introduction to Factory 5.0
Collaborative Robots (Cobots) and AI in Factory 5.0
Augmented Reality (AR) and Virtual Reality (VR)
Human-Centric Design in Factory 5.0
Applications in Human–Robot Collaboration
Logistics and Warehousing
Logistics: Amazon’s Robotic Fulfillment Centers
Challenges and Opportunities in Human–Robot Collaboration for Factory 5.0
Applications of Cobots
Future Trends in Cobot Technology
Conclusion
References
11. Human–Robot Interaction in Industry 5.0
Babitha Hemanth, Kripa T., Sumiksha Shetty and Smitha A. B.
11.1 Importance of Human–Robot Interaction
11.2 Growth of Artificial Intelligence and Machine Learning for Mobile Robots
11.2.1 Intelligence-Driven Customization and Optimization in Autonomous Mobile Robotics
11.3 Integration with Emerging Technologies
11.4 Synergy with IoT
11.4.1 Mobile Robots Integrated with IoT for Enhanced Communication and Data Sharing Across Industrial Systems
11.4.2 Benefits of IoT-Enabled Mobile Robots in Real-Time Monitoring and Coordination
11.5 Blockchain for Data Security
11.5.1 Using Blockchain to Ensure Secure Data Transactions and Communication Between Mobile Robots and Other Industrial Systems
11.6 Enhanced Connectivity
11.6.1 Advanced Connectivity Technologies (e.g., 5G) Improving the Performance and Coordination of Mobile Robots in Dynamic Environments
11.7 Human-Centric Innovations in Mobile Robotics
11.8 Improving Human Well-Being and Job Satisfaction
11.8.1 Alleviating Physical Strain: What Human Employees Gain from Mobile Robots Support in Terms of Redundant or Unsafe Duties
11.8.2 Features Designed to Enhance Safety and Comfort in Human–Robot Collaboration
11.9 Creating Collaborative Environments
11.9.1 Innovations that Enable Seamless Interaction Between Mobile Robots and Human Operators
11.9.2 Examples of Collaborative Robots (Cobots) and their Impact on Efficiency and Job Satisfaction
11.10 Challenges and Future Directions in Human–Robot Interaction (HRI)
11.11 Future Trends and Innovation in Human–Robot Interaction
References
Part 4: Specialized Applications and Innovations
12. Augmented Reality in Healthcare: Applications, Security, and Mobile Robotics Integration
S. Darwin, A. Rega and E. Fantin Irudaya Raj
12.1 Introduction
12.2 Profitable Benefits of AR in Education
12.2.1 Medical Field
12.2.2 Engineering Field
12.2.2.1 Confrontation Factors in Augmented Reality-Based Wireless Communication
12.3 Patients Home Care through AR
12.3.1 Healthcare Intervention Using Wearable AR
12.3.2 Rehabilitation Practices Using AR
12.4 Surgeries Using AR Technology
12.5 Services of AR in Healthcare
12.5.1 Monitoring and Guidance in Health Care
12.6 Challenges
12.7 AR’s Potential in the Medical Field
12.8 Conclusion
References
13. Enhancing Data Security, Sustainability, and Robotics Integration in IoT-Enabled Healthcare Systems
Manjunatha Badiger, Jose Alex Mathew, Sushma P. S., Sharathchandra N. R., Gurusiddayya Hiremath and Manjunatha E. C.
13.1 Introduction
13.1.1 Overview of IoT in Healthcare: Applications and Significance in Patient Care
13.1.2 The Intertwined Challenges of Data Security and Sustainability in IoT Healthcare Systems
13.1.3 Importance of Addressing these Issues for Enhancing System Reliability and Patient Outcomes
13.2 Data Security in IoT-Enabled Healthcare Systems
13.2.1 Common Vulnerabilities in IoT Healthcare
13.2.2 Regulatory Landscape and Compliance Requirements
13.2.3 Consequences of Security Lapses
13.3 Strategies for Enhancing Data Security
13.3.1 Advanced Encryption Standards and Secure Communication Protocols
13.3.2 Role of Blockchain in Ensuring Data Integrity and Traceability
13.3.3 Biometric and Multi-Factor Authentication Mechanisms
13.3.4 AI-Based Threat Detection and Response Systems
13.4 Robotics in IoT-Enabled Healthcare
13.4.1 Role of Robotics in Enhancing Healthcare Delivery and Patient Outcomes
13.4.2 Secure Integration of IoT and Robotic Systems for Real-Time Monitoring and Surgical Assistance
13.4.3 Energy-Efficient Designs for Robotic Healthcare Devices
13.4.4 Robotics and AI Synergy for Personalized and Autonomous Healthcare Solutions
13.5 Sustainability Challenges in IoT Healthcare Systems
13.5.1 Energy Demands of IoT Devices and their Impact on Sustainability
13.5.2 Environmental and Operational Implications of Inefficient Energy Management
13.5.3 Critical Need for Balancing Performance with Energy Consumption
13.6 Energy Efficiency in IoT Healthcare
13.6.1 Adoption of Low-Power Communication Protocols
13.6.2 Edge Computing to Minimize Energy-Intensive Cloud Communication
13.6.3 Energy-Harvesting Technologies for Device Longevity
13.6.4 Design Considerations for Creating Energy-Efficient IoT Networks
13.7 Case Study
13.7.1 Strengthening Cybersecurity for a Leading Private Hospital in London
13.7.2 Case Study: BP’s Integration of Wearables Into Employee Wellness Programs
13.8 Conclusion
References
14. Role of Blockchain and Mobile Robotics in Industry 5.0 – A Detailed Investigation
P. Gayathri, A. Ravi, E. Fantin Irudaya Raj and M. Appadurai
14.1 Introduction
14.2 Evolution of Industry 5.0
14.3 Portrayal of Block Chain
14.4 Architecture of IoT
14.5 STM and STC Chain in BC
14.6 Mobile Robotics Technologies
14.7 Mobile Robotics Views from A to Z
14.8 Risks in Industry 5.0
14.9 Cloud Solutions in Industry 5.0
14.10 Limitations for Industry 5.0
14.11 Control Approaches
14.12 Revised Remodels in Industry 5.0
14.13 Applications of Industry 5.0
14.14 Applications of BC
14.15 Upcoming Research for Industry 5.0
14.16 Future Developments for Industry 6.0
14.17 Conclusion
Bibliography
15. Sustainability and Resilience in Industry 5.0: LeveragingMachine Learning and AI Technologies
Dankan Gowda V., Nidadavolu Venkat D.S.S.V. Prasad Raju, Kottala Sri Yogi, Mandeep Kaur and Srinivas D.
15.1 Introduction
15.2 Conceptual Framework of Industry 5.0
15.3 Literature Survey
15.4 Machine Learning Techniques for Sustainability
15.5 AI Technologies Driving Resilience
15.6 Sustainable Supply Chain Management
15.7 Results and Discussion
15.8 Future Directions and Challenges
15.9 Conclusion
References
16. Development of an Auto Navigation Robot with LiDAR Technology
Shrividya G., Sushma P. S., Charan, Chirag Ballal, Chethan K. T., Deepak V. S. and Usha Desai
16.1 Introduction
16.2 Methodology
16.3 Design and Implementation
16.4 Results and Discussion
16.5 Conclusion
References
17. Design of Self-Sustaining Wall Projected Virtual Reality-Based Home and Industrial Automation System
J. Naga Vishnu Vardhan, G. Rama Lakshmi, G. R. L. V. N. Srinivasa Raju, P. Sindhu, T. Sai Deepika, Iffath Fathima, Prasanna Laxmi and Usha Desai
17.1 Introduction
17.2 Methodology
17.3 Results and Discussion
17.4 Conclusion
References
18. Review of Sensor Fusion Applications in Autonomous Vehicles
Aditya Avinash and Rathishchandra Ramachandra Gatti
18.1 Introduction
18.1.1 Challenges Faced by Sensors in AVs
18.2 Sensor Modalities in AVs
18.3 Sensor Calibration
18.4 Sensor Fusion Techniques
18.5 Applications and Case Studies
18.6 Challenges and Future Directions
18.7 Conclusion
References
19. Mobile Robotics in Industry 5.0: Leveraging AI and Machine Learning for Human-Centric Automation
Suchetha G., Harinakshi C., Masooda and Chinmai Shetty
19.1 Introduction to Industry 5.0 and Mobile Robotics
19.2 AI and ML Concepts Empower Mobile Robotics in Industry 5.0
19.3 Key AI Algorithms in Mobile Robotics
19.4 Core Technologies in Mobile Robotics for Industry 5.0
19.4.1 Natural Language Processing (NLP) and Voice Recognition: Facilitating Verbal Communication
19.5 Applications and Use Cases of Mobile Robotics in Industry 5.0
19.5.1 Collaborative Robotics on Production Floors
19.6 Technical Challenges and Limitations in Mobile Robotics for Industry 5.0
19.6.1 Data Processing and Real-Time Decision Making
19.7 Future Trends and Innovations in Mobile Robotics for Industry 5.0
19.8 Conclusion
References
About the Editors
Index
Back to Top
Preface
Part 1: Foundations of Industry 5.0 and Emerging Technologies
1. Advancing Design Principles for Industry 5.0 with a Focus on Human-Centered Innovation
Dankan Gowda V., Algubelly Yashwanth Reddy, V. Nuthan Prasad, Ved Srinivas and K.D.V. Prasad
1.1 Introduction
1.2 Literature Survey
1.3 Core Principles of Human-Centered Design
1.4 Technological Advancements Enabling Human-Centered Innovation
1.5 Methodologies for Implementing Human-Centered Innovation
1.6 Challenges and Barriers to Adoption
1.7 Results and Discussion
1.8 Future Directions for Research and Practice
1.9 Conclusion
References
2. Methods and Mechanics for Robot Navigation in Different Environments
Canute Sherwin, Chandra Singh and Prashanth Kumar
2.1 Introduction
2.2 Path Planning
2.3 Mobile Robot Navigation Mapping
2.3.1 Visual Mapping and Positioning
2.3.2 LiDAR Mapping and Positioning
2.3.3 Sensor Fusion Mapping and Positioning
2.4 Machine Learning
2.5 Large Language Models (LLMs)
2.5.1 Robot’s Environment Perception
2.5.2 High Level Planning
2.5.3 Low Level Planning
2.5.4 Human–Robot Interaction
2.5.5 Multi-Robot Coordination
2.6 Deep Learning Approaches
2.7 Reinforcement Learning (RL)
2.8 Conclusions
References
3. Detailed Investigation of Autonomous Vehicles in the Context of Industry 5.0
C. Sweetline Jenita, E. Fantin Irudaya Raj, S. Sivananaithaperumal and N. Pon Subathira
3.1 Introduction
3.2 Self-Driving Systems – Overview
3.3 Sensors in Autonomous Vehicle
3.3.1 Camera
3.3.2 LiDAR
3.3.3 Radar
3.4 Actuators
3.5 Decision-Making Algorithms and Controllers in Self-Driving Systems
3.6 Conclusion
References
4. Emerging Technologies in Industrial Automation with Robotic Applications
M. Appadurai, E. Fantin Irudaya Raj, M. Chithambara Thanu and P. Gayathri
4.1 Introduction
4.2 Robotics in Additive Manufacturing
4.3 Robotic Welding Systems
4.4 Digital Twins for Robotic System Optimization
4.5 Robotics in Hazardous Environments
4.5.1 Robotics in Nuclear Environments
4.5.2 Robotics in Space Exploration
4.5.3 Robotics in Deep Sea Exploration
4.5.4 Robotics in Disaster Response
4.6 Robotic Maintenance Systems for Predictive Analytics
4.7 Mobile Robotics in Dynamic Industrial Environments
4.8 Conclusion
References
Part 2: Robotics and Mobile Integration in Industry 5.0
5. IoT and Mobile Robotics Integration for Transforming Smart Manufacturing in Industry 5.0
Dankan Gowda V., Priya Dongare-Jadhav, Noushad Yashan, Madan Mohanrao Jagtap and Suganthi Neelagiri
5.1 Introduction
5.1.1 Context and Motivation
5.1.2 Role of IoT and Mobile Robotics
5.1.3 Objectives of the Chapter
5.2 Industry 5.0: A Paradigm Shift
5.2.1 Industry 5.0 Vs. Industry 4.0
5.2.2 Core Principles of Industry 5.0
5.2.3 Technological Advancements Driving Industry 5.0
5.3 The Role of IoT in Smart Manufacturing
5.3.1 IoT Architecture
5.3.2 Applications of IoT in Manufacturing
5.3.3 IoT-Enabled Smart Factory
5.4 Mobile Robotics in Manufacturing
5.4.1 Types of Mobile Robots
5.4.2 Key Functions of Mobile Robotics
5.4.3 Human-Robot Collaboration
5.4.4 Technological Integration
5.5 Integration of IoT and Mobile Robotics in Smart Manufacturing
5.5.1 Challenges in Integration
5.5.2 Framework for Integration
5.5.3 Data Sharing and Real-Time Communication
5.5.4 Use Case: Real-Time Monitoring and Control
5.6 Case Studies and Applications
5.6.1 Global Industry Examples
5.6.2 Benefits Achieved
5.6.3 Lessons Learned
5.7 Results and Discussion
5.7.1 Key Findings from Literature and Case Studies
5.7.2 Impact on Manufacturing Efficiency and Flexibility
5.7.3 Human-Centric Manufacturing and Worker Empowerment
5.7.4 Sustainability and Environmental Impact
5.8 Challenges in the Integration of IoT and Mobile Robotics
5.8.1 Technical and Operational Barriers
5.8.2 Scalability Issues
5.8.3 Standardization and Interoperability
5.9 Future Trends and Research Directions
5.9.1 AI and Machine Learning Integration
5.9.2 5G and Edge Computing
5.9.3 Cyber-Physical Systems and Digital Twins
5.10 Conclusion
References
6. Innovative Approaches to Designing and Optimizing Mobile Robotics for Advanced Collaboration in Industry 5.0
Mandeep Kaur, P. Arockia Mary, Dankan Gowda V., L.R. Sujithra and Priya Dongare Jadhav
6.1 Introduction
6.2 Technological Foundations of Mobile Robotics in Industry 5.0
6.3 Literature Survey
6.4 Proposed Innovative Approaches to Mobile Robotics Design
6.5 Mobile Robotics for Advanced Collaboration
6.6 Case Studies
6.7 Results and Discussion
6.8 Conclusion
References
7. Applications and Challenges of Digital Twins in Industry 5.0 for Advanced Industrial Systems
Dankan Gowda V., Galiveeti Poornima, Kottala Sri Yogi, Madan Mohanrao Jagtap and Shekhar R.
7.1 Introduction
7.2 Literature Survey
7.3 Framework of Digital Twins in Industry 5.0
7.4 Applications of Digital Twins
7.5 Challenges in Implementing Digital Twins
7.6 Results and Discussion
7.7 Conclusion
References
8. Mobile Robotics for Agriculture: Design and Implementation of an Autonomous Robo-Snake
Chandra Singh, Rathishchandra R. Gatti, K.V.S.S.S.S. Sairam and D.K. Sreekantha Karanam Desai
8.1 Introduction
8.2 Literature Survey
8.3 Problem Statement
8.4 Objectives
8.5 Methodology
Conclusion
References
Part 3: Human-Robot Collaboration and Interaction
9. Synergistic Thinking: Human–Robot Partnership for Smarter Decisions
Chandra Singh, Rathishchandra R. Gatti, Ganesha H. S. Harve, K.V.S.S.S.S. Sairam, Durga Prasad and Pavithra Poornima
9.1 Introduction to Human–Robot Collaboration in Mobile Robotics
9.1.1 Importance of AI Algorithms in Mobile Robotics
9.2 Fundamentals of Decision Making in Mobile Robots
9.3 Emerging Technologies in Mobile Robotics
9.4 Cooperation Strategies
9.5 Applications in Mobile Robotics
9.6 Conclusion
Bibliography
10. Collaborative Robotics in Factory 5.0: Redefining Modern Production
Chandra Singh, Rathishchandra R. Gatti, Ganesha H. S. Harve, K.V.S.S.S.S. Sairam, Durga Prasad and Pavithra Poornima
Introduction to Factory 5.0
Collaborative Robots (Cobots) and AI in Factory 5.0
Augmented Reality (AR) and Virtual Reality (VR)
Human-Centric Design in Factory 5.0
Applications in Human–Robot Collaboration
Logistics and Warehousing
Logistics: Amazon’s Robotic Fulfillment Centers
Challenges and Opportunities in Human–Robot Collaboration for Factory 5.0
Applications of Cobots
Future Trends in Cobot Technology
Conclusion
References
11. Human–Robot Interaction in Industry 5.0
Babitha Hemanth, Kripa T., Sumiksha Shetty and Smitha A. B.
11.1 Importance of Human–Robot Interaction
11.2 Growth of Artificial Intelligence and Machine Learning for Mobile Robots
11.2.1 Intelligence-Driven Customization and Optimization in Autonomous Mobile Robotics
11.3 Integration with Emerging Technologies
11.4 Synergy with IoT
11.4.1 Mobile Robots Integrated with IoT for Enhanced Communication and Data Sharing Across Industrial Systems
11.4.2 Benefits of IoT-Enabled Mobile Robots in Real-Time Monitoring and Coordination
11.5 Blockchain for Data Security
11.5.1 Using Blockchain to Ensure Secure Data Transactions and Communication Between Mobile Robots and Other Industrial Systems
11.6 Enhanced Connectivity
11.6.1 Advanced Connectivity Technologies (e.g., 5G) Improving the Performance and Coordination of Mobile Robots in Dynamic Environments
11.7 Human-Centric Innovations in Mobile Robotics
11.8 Improving Human Well-Being and Job Satisfaction
11.8.1 Alleviating Physical Strain: What Human Employees Gain from Mobile Robots Support in Terms of Redundant or Unsafe Duties
11.8.2 Features Designed to Enhance Safety and Comfort in Human–Robot Collaboration
11.9 Creating Collaborative Environments
11.9.1 Innovations that Enable Seamless Interaction Between Mobile Robots and Human Operators
11.9.2 Examples of Collaborative Robots (Cobots) and their Impact on Efficiency and Job Satisfaction
11.10 Challenges and Future Directions in Human–Robot Interaction (HRI)
11.11 Future Trends and Innovation in Human–Robot Interaction
References
Part 4: Specialized Applications and Innovations
12. Augmented Reality in Healthcare: Applications, Security, and Mobile Robotics Integration
S. Darwin, A. Rega and E. Fantin Irudaya Raj
12.1 Introduction
12.2 Profitable Benefits of AR in Education
12.2.1 Medical Field
12.2.2 Engineering Field
12.2.2.1 Confrontation Factors in Augmented Reality-Based Wireless Communication
12.3 Patients Home Care through AR
12.3.1 Healthcare Intervention Using Wearable AR
12.3.2 Rehabilitation Practices Using AR
12.4 Surgeries Using AR Technology
12.5 Services of AR in Healthcare
12.5.1 Monitoring and Guidance in Health Care
12.6 Challenges
12.7 AR’s Potential in the Medical Field
12.8 Conclusion
References
13. Enhancing Data Security, Sustainability, and Robotics Integration in IoT-Enabled Healthcare Systems
Manjunatha Badiger, Jose Alex Mathew, Sushma P. S., Sharathchandra N. R., Gurusiddayya Hiremath and Manjunatha E. C.
13.1 Introduction
13.1.1 Overview of IoT in Healthcare: Applications and Significance in Patient Care
13.1.2 The Intertwined Challenges of Data Security and Sustainability in IoT Healthcare Systems
13.1.3 Importance of Addressing these Issues for Enhancing System Reliability and Patient Outcomes
13.2 Data Security in IoT-Enabled Healthcare Systems
13.2.1 Common Vulnerabilities in IoT Healthcare
13.2.2 Regulatory Landscape and Compliance Requirements
13.2.3 Consequences of Security Lapses
13.3 Strategies for Enhancing Data Security
13.3.1 Advanced Encryption Standards and Secure Communication Protocols
13.3.2 Role of Blockchain in Ensuring Data Integrity and Traceability
13.3.3 Biometric and Multi-Factor Authentication Mechanisms
13.3.4 AI-Based Threat Detection and Response Systems
13.4 Robotics in IoT-Enabled Healthcare
13.4.1 Role of Robotics in Enhancing Healthcare Delivery and Patient Outcomes
13.4.2 Secure Integration of IoT and Robotic Systems for Real-Time Monitoring and Surgical Assistance
13.4.3 Energy-Efficient Designs for Robotic Healthcare Devices
13.4.4 Robotics and AI Synergy for Personalized and Autonomous Healthcare Solutions
13.5 Sustainability Challenges in IoT Healthcare Systems
13.5.1 Energy Demands of IoT Devices and their Impact on Sustainability
13.5.2 Environmental and Operational Implications of Inefficient Energy Management
13.5.3 Critical Need for Balancing Performance with Energy Consumption
13.6 Energy Efficiency in IoT Healthcare
13.6.1 Adoption of Low-Power Communication Protocols
13.6.2 Edge Computing to Minimize Energy-Intensive Cloud Communication
13.6.3 Energy-Harvesting Technologies for Device Longevity
13.6.4 Design Considerations for Creating Energy-Efficient IoT Networks
13.7 Case Study
13.7.1 Strengthening Cybersecurity for a Leading Private Hospital in London
13.7.2 Case Study: BP’s Integration of Wearables Into Employee Wellness Programs
13.8 Conclusion
References
14. Role of Blockchain and Mobile Robotics in Industry 5.0 – A Detailed Investigation
P. Gayathri, A. Ravi, E. Fantin Irudaya Raj and M. Appadurai
14.1 Introduction
14.2 Evolution of Industry 5.0
14.3 Portrayal of Block Chain
14.4 Architecture of IoT
14.5 STM and STC Chain in BC
14.6 Mobile Robotics Technologies
14.7 Mobile Robotics Views from A to Z
14.8 Risks in Industry 5.0
14.9 Cloud Solutions in Industry 5.0
14.10 Limitations for Industry 5.0
14.11 Control Approaches
14.12 Revised Remodels in Industry 5.0
14.13 Applications of Industry 5.0
14.14 Applications of BC
14.15 Upcoming Research for Industry 5.0
14.16 Future Developments for Industry 6.0
14.17 Conclusion
Bibliography
15. Sustainability and Resilience in Industry 5.0: LeveragingMachine Learning and AI Technologies
Dankan Gowda V., Nidadavolu Venkat D.S.S.V. Prasad Raju, Kottala Sri Yogi, Mandeep Kaur and Srinivas D.
15.1 Introduction
15.2 Conceptual Framework of Industry 5.0
15.3 Literature Survey
15.4 Machine Learning Techniques for Sustainability
15.5 AI Technologies Driving Resilience
15.6 Sustainable Supply Chain Management
15.7 Results and Discussion
15.8 Future Directions and Challenges
15.9 Conclusion
References
16. Development of an Auto Navigation Robot with LiDAR Technology
Shrividya G., Sushma P. S., Charan, Chirag Ballal, Chethan K. T., Deepak V. S. and Usha Desai
16.1 Introduction
16.2 Methodology
16.3 Design and Implementation
16.4 Results and Discussion
16.5 Conclusion
References
17. Design of Self-Sustaining Wall Projected Virtual Reality-Based Home and Industrial Automation System
J. Naga Vishnu Vardhan, G. Rama Lakshmi, G. R. L. V. N. Srinivasa Raju, P. Sindhu, T. Sai Deepika, Iffath Fathima, Prasanna Laxmi and Usha Desai
17.1 Introduction
17.2 Methodology
17.3 Results and Discussion
17.4 Conclusion
References
18. Review of Sensor Fusion Applications in Autonomous Vehicles
Aditya Avinash and Rathishchandra Ramachandra Gatti
18.1 Introduction
18.1.1 Challenges Faced by Sensors in AVs
18.2 Sensor Modalities in AVs
18.3 Sensor Calibration
18.4 Sensor Fusion Techniques
18.5 Applications and Case Studies
18.6 Challenges and Future Directions
18.7 Conclusion
References
19. Mobile Robotics in Industry 5.0: Leveraging AI and Machine Learning for Human-Centric Automation
Suchetha G., Harinakshi C., Masooda and Chinmai Shetty
19.1 Introduction to Industry 5.0 and Mobile Robotics
19.2 AI and ML Concepts Empower Mobile Robotics in Industry 5.0
19.3 Key AI Algorithms in Mobile Robotics
19.4 Core Technologies in Mobile Robotics for Industry 5.0
19.4.1 Natural Language Processing (NLP) and Voice Recognition: Facilitating Verbal Communication
19.5 Applications and Use Cases of Mobile Robotics in Industry 5.0
19.5.1 Collaborative Robotics on Production Floors
19.6 Technical Challenges and Limitations in Mobile Robotics for Industry 5.0
19.6.1 Data Processing and Real-Time Decision Making
19.7 Future Trends and Innovations in Mobile Robotics for Industry 5.0
19.8 Conclusion
References
About the Editors
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