AI for Emerging Verticals: Human-robot computing, sensing and networking

AI across robotics, sensing, and networks

AI for Emerging Verticals: Human-robot computing, sensing and networking is a carefully edited IET collection that looks at how artificial intelligence and machine learning are being used in three closely connected areas: human-robot systems, sensing, and wireless networking. It brings together chapter-level research rather than a single-author narrative, so the reading experience is varied, technical, and grounded in current applications.

The book opens with human-robot topics such as modelling human manipulation for autonomous grasping, affective computing, and robot intelligence in real-world settings. From there, it moves into networked systems and AI-enabled wireless research, including predictive mobility management, 5G and beyond-5G analytics, coverage-hole detection, and indoor localisation. The later sections continue into sensing-focused work such as EEG-based biometrics and related classification methods.

What this volume emphasizes

• AI methods applied to robotics and manipulation
• Machine learning for emotion, behaviour, and biometric sensing
• Wireless networking, mobility, and localisation problems
• Chapter-based research with a strong engineering orientation

A good fit for technical readers

This title will appeal to readers who want a research-led view of how AI is being deployed in practical engineering contexts. It is especially relevant to researchers, graduate students, and practitioners working in robotics, communications, sensing, or interdisciplinary AI applications.

For buyers looking for a digital technical reference with breadth across multiple AI-enabled domains, this IET volume offers a focused snapshot of the field at the intersection of machines, signals, and networks.