Embodied Artificial Intelligence - Concepts, Challenges, and Appl...

Embodied Artificial Intelligence: Concepts, Challenges, and Applications (PDF)

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English | 2026 | ISBN: 1394404352 | 495 pages | PDF | 69.25 MB

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.