Real-time robotics evolves through the convergence of Internet of Things (IoT) connectivity and edge AI. Edge AI reduces dependence on cloud systems, allowing robots to operate in dynamic environments. This integration introduces new methods for distributed sensing, low-latency inference, and adaptive control, while demanding rigorous evaluation through metrics like response time, energy efficiency, accuracy, and system robustness. From autonomous vehicles and smart manufacturing to healthcare assistance and precision agriculture, real-time robotics powered by IoT and Edge AI may redefine how intelligent systems interact with the physical world. Real-Time Robotics With IoT and Edge AI: Methods, Metrics, and Applications explores the intersection of robotics, IoT, and edge AI. It covers foundational concepts, practical edge-computing architectures, and real-time analytics, with analysis across transport, environmental monitoring, smart automation, and security sectors. This book covers topics such as environmental monitoring, smart technology, and supply chains, and is a useful resource for engineers, academicians, researchers, and scientists.
