Embodied Artificial Intelligence

Concepts, Challenges and Applications
1. Auflage 2026
ISBN: 978-1-394-40435-3
Verlag: Wiley

Buch, Englisch, 512 Seiten

Bridging the gap between abstract algorithms and physical reality, this essential volume equips researchers and professionals with the technical depth and forward-looking insights needed to pioneer the next generation of robotics, smart environments, and seamless human-machine collaboration.

Embodied artificial intelligence represents a significant evolution in the field of intelligent systems, where algorithms are no longer confined to virtual spaces but are integrated with physical bodies, sensors, and real-world contexts. Unlike traditional AI, which primarily processes abstract data, embodied AI emphasizes perception, interaction, and adaptation in dynamic environments, making it a cornerstone for next-generation applications in robotics, IoT, and human–machine collaboration. Bringing together advances in robotics, IoT, human–computer interaction, and machine learning, this book highlights how embodied intelligence is reshaping the way we live, work, and engage with technology. From enhancing personalized assistance in smart homes to enabling adaptive infrastructure in smart environments, embodied AI is setting the stage for the next generation of intelligent living. The book examines how embodied AI is transforming industries and societies alike. In marketing, it drives immersive consumer experiences through interactive, human-like engagement, while in smart cities, it fosters sustainable development, intelligent mobility, and participatory urban governance. Balancing technical depth with practical relevance, the chapters provide readers with both foundational insights and forward-looking perspectives on the opportunities and challenges of embodied AI. Designed for academics, researchers, and professionals, this volume serves as a reference for understanding how intelligent systems are blending seamlessly into human contexts.

Readers will find the volume: - Explores how embodied AI is driving innovation in smart homes, smart environments, marketing, and smart cities;
- Connects AI, robotics, IoT, and human–computer interaction for broad academic and professional audiences;
- Highlights cutting-edge use cases and trends that shape sustainable and intelligent living;
- Serves as both a reference for researchers and a guide for practitioners seeking real-world applications.

Audience

Academics, researchers, AI engineers, robotics developers, environmental technologists, and policymakers in computer science, human–computer interaction, and intelligent systems.

Autoren/Hrsg.

Rajmohan, R.

Chowdhury, Subrata

Glorindal Selvam, G.

Kumar, T. Ananth

Balamurugan, S.

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften Neurobiologie, Verhaltensbiologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

Series Preface xix
Preface xxi
Acknowledgments xxiii

Part I: Foundations and Frontiers of Embodied Artificial Intelligence 1

1 Key Components of Neural Models for Embodied AI 3
P. Deivendran, G. Arun Sampaul Thomas, S. Muthukaruppasamy, J. Nandha Gopal and R. Senthilkumar

1.1 Introduction 4
1.2 Agent Architecture and Embodied Neural Agents 8
1.3 Methods and Task Models 9
1.4 Multi-Agent Simulations 12
1.5 Methods 19
1.6 Simulated Agent Design 20
1.7 Performance Analysis 22
1.8 Conclusion 23

2 Energy Efficiency in Embodied AI Systems 27
J. Dhanalakshmi, Aryan Raj, Aryan Nair, Chin-Shiuh Shieh and A. Prabhu Chakkaravarthy

2.1 Introduction 28
2.2 Energy Consumption Challenges in Embodied AI 30
2.3 Hardware Optimization for Energy-Efficient Embodied AI 34
2.4 Software Innovations for Energy Efficiency 38
2.5 Architectural Enhancements for Power Management 41
2.6 Recent Advancements and Case Studies 43
2.7 Results and Discussion 45Contents vii
2.8 Future Directions in Energy-Efficient Embodied AI 47
2.9 Conclusion 48

3 Embodied AI in Healthcare: From Clinical Applications to Assistive Living 53
N. A. Natraj and P. Ashok

3.1 Introduction 54
3.2 Foundations of Healthcare Robotics 58
3.3 Applications in Clinical Settings 64
3.4 Assistive Robotics for Daily Living 70
3.5 Future Directions and Challenges 76

4 Embodied AI for Human Robot Collaboration Using Agentic AI and Attention Economy 85
Robin Rohit Vincent, Nisha F., Varalaskhmi T. and Anand Muthukumarappan

4.1 Introduction 86
4.2 Fundamentals of Embodied AI 87
4.3 Agentic AI: Empowering Autonomous Collaboration 90
4.4 Attention Economy and Human-Robot Interaction 93
4.5 System Architecture and Implementation 97
4.6 Methodology 98
4.7 Applications and Case Studies 109
4.8 Limitations 114
4.9 Future Directions and Ethical Implications 115
4.10 Summary 119

5 Enhancing Urban Intelligence Through Adaptive Systems and Embodied AI 125
D. Devi Aruna, Prativa Mishra, B. Ramya, P. Dinesh Kumar and C. Kumuthini

5.1 Introduction of Smart Cities and IoT 126
5.2 Literature Review 133
5.3 Hybrid AI Model for Smart City Adaptation 137
5.4 Methodology 138
5.5 Conclusion 152

Part II: Techniques in Embodied Artificial Intelligence 155

6 Real-Time Sign Language Translator with Dynamic Ensemble Learning Using Embodied Artificial Intelligence 157
Ganesh Khekare, Pranay Batta, Tavishi Jain, Vincent Omollo Nyangaresi, Nischal Puri and Seema Raut

6.1 Introduction 158
6.2 Literature Review 159
6.3 Methodology 159
6.4 Results and Discussion 177
6.5 Conclusion 184
6.6 Future Scope 187

7 Cognitive Neural Systems for Embodied Artificial Intelligence in Skin Disease Detection and Classification Framework 191
Karthick Manoj R., S. Aasha Nandhini and M. Batumalay

7.1 Introduction 192
7.2 Literature Survey 197
7.3 Proposed Methodology 200
7.4 Results and Discussion 204
7.5 Conclusion 210

8 Enhanced AI-Powered Optical Character Recognition with CNN and Graph Theory-Based Arabic Handwriting Segmentation 213
N. Nithiyanandam, N. Sivaranjani, R. Madhura and G. Malarselvi

8.1 Introduction 214
8.2 Segmentation Contribution to AI-OCR 215
8.3 Methodology 216
8.4 Implementation and Discussion of Results 225
8.5 Conclusion 229

9 A Novel XAI-Based Deep Learning Approach for Accurate Diagnosis of Knee Osteoarthritis 233
Lavanya R. and Sudha Senthilkumar

9.1 Introduction 234
9.2 Symptoms and Progression of KOA 236
9.3 Traditional Diagnostic Approaches for KOA 238
9.4 Artificial Intelligence's Function in Medical Imaging 241
9.5 Transformer-Based Explainable AI (XAI) for KOA Detection 243
9.6 Methods 244
9.7 Performance Evaluation and Comparative Analysis 252
9.8 Benefits of AI-Powered KOA Diagnosis 253
9.9 Ethical Considerations and Challenges in AI-Based Diagnosis 256
9.10 Future Directions and Innovations in Transformer-Based Explainable AI for Knee Osteoarthritis Diagnosis 257
9.11 Conclusion 258

10 Artificial Intelligence-Based Monetary Administration in Institutions Employing Cognitive Fuzzy Logic and Sensors 265
Gokulnath C. and Shibu N. V.

10.1 Introduction 266
10.2 Literature Survey 269
10.3 Proposed Method 270
10.4 Findings and Analysis 277
10.5 Conclusion 282

11 Applying AI Embodied Deep Learning Models for Real-Time Prediction and Classification of Dengue Virus Serotypes Using Complete Genome Data 285
N. Sivaranjani, N. Nithiyanandam, V. Manickavasagam, G.K. Sandhia and S. Nikkath Bushra

11.1 Introduction 286
11.2 Resources and Procedures 289
11.3 Discussion and Results 295
11.4 Conclusion 303

Part III: Applications of Embodied Artificial Intelligence 307

12 Embodied Artificial Intelligence for Smart Homes: Towards Adaptive and Context-Aware Automation 309
D. Divya, M. Kalaimani, C.P. Jetlin and K. Kavitha

12.1 Introduction 310
12.2 Materials and Methods 317
12.3 Framework of IoT-Enabled Smart City 318
12.4 Home Automation 325
12.5 General Applications of Smart Cities 330
12.6 Smart City Security Challenges 333
12.7 Conclusion 335

13 Smart Umbrella: An Embodied AI-Powered Forecasting Companion for Rainy Days 339
Nivethitha V., G. Achuth, Dinesh R. and Lakshmanan L.

13.1 Introduction 341
13.2 Literature Survey 343
13.3 Methodology 345
13.4 Algorithm Design 353
13.5 Workflow 355
13.6 Use Cases 358
13.7 Evaluation Results 359
13.8 Conclusion 364

14 TactiSense: An IoT-Based Skin Cancer Detection System Using Machine Learning and Skin Elasticity Analysis 367
Arumuga Arun R. and Aniket Anand

14.1 Introduction 368
14.2 Literature Review 370
14.3 Methodology 374
14.4 System Architecture 378
14.5 Implementation 381
14.6 Results 390
14.7 Discussion 393
14.8 Conclusion 394

15 The Future of Embodied AI in Smart Cities and IoT 399
Manas Kumar Yogi and Subhasri Telkar

15.1 Introduction 400
15.2 Building Blocks of Embodied AI Systems for Smart Cities 402
15.3 Human-Robot Interaction (HRI) in Urban Environments: A Hybrid Model 412
15.4 Results 423
15.5 Research Roadmap and Future Directions 428
15.6 Conclusion 432

16 Embodied AI in Marketing: The Rise and Impact of AI Influencers 437
Rishi Satapathy and Abhishek Kumar

16.1 Introduction 438
16.2 Methodology 441
16.3 Background and Evolution of Virtual Influencers 443
16.4 Creation and Maintenance of Virtual Influencers 447
16.5 The Rise of Virtual Influencers 450
16.6 Impact on Consumer Behavior and Brand Loyalty 453
16.7 Marketing Strategies Involving Virtual Influencers 455
16.8 Challenges and Ethical Considerations 458
16.9 Future Trends and Implications 463
16.10 Conclusion 469

References 473
Index 475

Über Autor(innen)

R. Rajmohan, PhD is an Assistant Professor at the SRM Institute of Science and Technology’s Kattankulathur Campus, Tamil Nadu, India. He has published more than 60 papers in various reputed journals, 20 book chapters, six edited books, one authored book, and three patents. His fields of interest include artificial intelligence, data science, medical imaging, machine learning, wireless networks, deep learning, and IoT.

Subrata Chowdhury, PhD is an Associate Professor in the Department of Computer Science and Machine Learning, Sreenivasa Institute of Technology and Management Studies, Chittoor, India. He has four books and more than 100 research papers, copyrights, and patents to his credit, in addition to his extensive work as an editor. He has handled various projects in AI, blockchain, and cloud computing for national and international clients.

G. Glorindal Selvam, PhD is a is a highly experienced and accomplished academic and computer engineering professional with over 20 years of expertise and is recognized for her leadership in both academic and research roles. Her professional highlights include patent publications in fields such as IoT, cancer detection, and agricultural technology, alongside numerous awards for innovation. Her diverse roles reflect his commitment to academic excellence, research, and collaboration with institutions worldwide.

T. Ananth Kumar, PhD is an Associate Professor and Head of Research at the IFET College of Engineering, Tamil Nadu, India. He has published one authored and six edited books, as well as many book chapters, patents, and articles in international journals and conferences. His fields of interest include networks on chips, computer architecture, and application-specific integrated circuit design.

S. Balamurugan, PhD is the Director of Research, iRCS, an Indian Technological Research and Consulting Firm. He has published 100 books, 300 papers in international journals and conferences, and 300 patents. With 20 years of research on various cutting-edge technologies, he provides expert guidance in technology forecasting and decision making for leading companies and startups.