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.
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.
