Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends -

Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends

eBook Ausgabe. XXVIII, 310 p. 62 illus., 56 illus. in color.. Sprachen: Englisch
eBook (pdf), 310 Seiten
EAN 9783031953026
Veröffentlicht September 2025
Verlag/Hersteller Springer Nature Switzerland

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Beschreibung

This book delves into the next generation of robotics, where the fusion of AGI with IoT networks brings unprecedented capabilities to machines, allowing them to think, adapt, and collaborate in ways previously confined to science fiction. In the rapidly evolving world of technology, the convergence of Artificial General Intelligence (AGI) and the Internet of Things (IoT) is unlocking new frontiers for robotics, transforming how we interact with machines and the environment. This book explores the groundbreaking synergy between AGI and IoT, focusing on their transformative impact on robotics and automation systems. It presents advanced applications in computer vision, showing how robots are becoming more intelligent, autonomous, and capable of interpreting and interacting with the world around them with human-like precision. The author offers insightful analyses into the future of robotics, discussing upcoming trends, the challenges of developing AG-IoT ecosystems, and the ethical implications of these technological advancements. With a focus on cutting-edge research and real-world examples, this book serves as an essential resource for researchers, engineers, and enthusiasts interested in the future of robotics, artificial intelligence, and the IoT. Whether you are exploring the potential of AG-IoT integration or seeking to understand the future of intelligent robotics, this book is your gateway to the future of automation and intelligent systems.

Portrait

Mehak Mushtaq Malik is currently a junior researcher at Delta and pursuing her Ph.D. at University of Tartu, Estonia. Previously, she worked as a research scientist at KIOS Research and Innovation Center of Excellence. She did her M.S. degree in Computer Science from COMSATS University Islamabad. She completed her bachelor's degree in software engineering from COMSATS University Islamabad. She achieved the award of distinction with silver medal. She also held various positions of distinction in different semesters of her bachelor's degree. She presented in 2nd International Workshop on Intelligent Systems for Sustainable Smart Cities, I3SC'23. She also presented in 1st International Conference on Emerging Trends & Innovation (1st ICETI). She is an editor of two books which are published in Springer Nature. Hafsa Maryam received a B.S. degree in computer science from the PMAS-Arid Agriculture University, Pakistan, in 2014. Building on this foundation, she earned her M.S. degree in Computer Science from COMSATS University, Islamabad, Pakistan, in 2017. She also served more than two years as a software developer and as a visiting lecturer at the SE Department of IUSE School of Engineering and Management Sciences affiliated with UET Taxila in 2018, Rawalpindi, Pakistan. Moreover, from 2018 to 2020, she worked as a lecturer at the Computer Science Department of the Institute of Space Technology (IST)-KICSIT campus and BIMS affiliated with PMAS-Arid Agriculture University, Rawalpindi, Pakistan. She is currently pursuing a PhD degree at the University of Cyprus, Cyprus. She is the author/ coauthor of 20 research papers published in national and international conferences, book chapters, and journals. Inam Ullah Khan is a distinguished academic and industry expert in AI, AGI, UAVs, routing protocols, IDS, ML/DL, and evolutionary computing. He is the Founder of AI-EYS and a Senior IEEE member with affiliations in IAENG and various IEEE councils. He currently serves as Postdoctoral Research Fellow at Multimedia University, Malaysia, and Visiting Faculty at NAVTTC and PSGR Krishnammal College, India. He previously held research and faculty positions at King's College London, NUTECH, CESET, SZABIST, and others. Dr. Inam Ullah Khan holds a Ph.D. and M.S. in Electronics Engineering (Isra University) and a B.S. in Computer Science. Author of 100+ publications and editor of 20+ books, he has been featured on Pakistan National TV for his AI expertise. Shashi Kant Gupta is a Postdoctoral Fellow in Computer Science at Eudoxia Research University, USA, and the Research Institute of IoT and Cybersecurity, National Kaohsiung University of Science and Technology, Taiwan. He serves as Adjunct Professor at Lincoln University College (Malaysia), Chitkara University (India), Saveetha School of Engineering (India), and MAAUN (Nigeria), among others. With over 14.5 years of academic experience and 2 years in industry, he is the Founder & CEO of CREP Pvt. Ltd. and editor-in-chief of IJDIIC and IJETCC. He has published widely in SCOPUS/SCI journals, holds international patents, and edits books with Springer, CRC, Wiley, and Taylor & Francis. His research focuses on cloud computing, big data, IoT, and education technology. He is a senior editor, IEEE member, and recipient of multiple international awards.

Inhaltsverzeichnis

AG-IoT and Robotics Solutions for Early Intervention in Developmental Delays Among Mentally Retarded Children.- Exploring the Impact of AR, IoT, and Robotics on Cognitive and Motor Functioning in Children with Neurodevelopmental Disorders.- Evolution of the Internet of Things (IoT) in Robotics.- Human -Robotic Interaction in AG-IoT Environment.- Future Trends for Artificial General- Internet of Things for Robotics.- Future AIoT-Based Green Smart Cities Essential Role in Enhancement of Healthcare Services.

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