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9798260007020: Real-Time Robotics With IoT and Edge AI: Methods, Metrics, and Applications

Sinopsis

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.

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Acerca de los autores

Aquil Mirza Mohammed is a senior member of IEEE, a researcher and educator specializing in AI, AIoT, robotics, sensor networks, and medical imaging. He is a Dean and Professor at Liaoning Technical University, China and a Senior Lecturer at The Hong Kong Polytechnic University, Hong Kong. His research has been funded by major grants, and his work has earned several national and international awards such as the IEEE Best Student Paper awards, Young Investigator Award, etc. With a strong academic background and innovative research, he continues to inspire future engineers.

Cong Wu received his PhD from Dongbei University of Finance and Economics and holds dual Master's degrees in Engineering (Computer Application Technology) and Management (Management Science and Engineering). He is a council member of the Higher Education Branch of the Chinese Association for Optimization, Overall Planning and Economic Mathematics, a JD Cloud & AI certified engineer, and an AI engineering assessor for the Ministry of Industry; he is also an Outstanding Worker of the China Coal Industry Association, an Advanced Individual in Academic and Postgraduate Education in Liaoning Province, and a recipient of the Fuxin City May Day Labor Medal. Currently, he is the Vice Dean of the Innovation and Practice College, and his research focuses on multimodal learning and large-scale models, data analysis and intelligent decision-making, big data and cloud computing, and intelligent sensing in the Internet of Things.

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