Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems.

The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension.

Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.

Dr. Rishabha Malviya completed a B. Pharm. from Uttar Pradesh Technical University and an M. Pharm. (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His Ph.D. (Pharmacy) work was in the area of novel formulation development techniques. He has 11 years of research experience and has worked as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University for the past 8 years. His areas of interest include formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery and characterization of natural polymers as pharmaceutical excipients. He has authored more than 150 research/review papers for national/international journals of repute. He is editorial board member/reviewer of more than 40 journals. He has more than 10 patent grants from different countries are to his credit while 40 patents are published/under evaluation.

Professor Naveen Chilamkurti is currently working as Professor and Head of Cybersecurity Discipline Director at La Trobe Cybersecurity Research Hub, La Trobe University, Melbourne, Australia. He has completed a Masters and Ph.D. in Computer Science from La Trobe University. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published more than 10 books and book chapter on various technologies. He has published more than 250 review and research articles in national and international journal.

Professor Sonali Sundram completed a B. Pharm. and M. Pharm. (Pharmacology) at AKTU, Lucknow. She has worked as research scientist in a project of ICMR at King George’s Medical University, Lucknow, then joined BBDNIIT, and is currently working at Galgotias University, Greater Noida. Her Ph.D. (Pharmacy) work was in the areas of neurodegeneration and nanoformulation. Her areas of interest are neurodegeneration, clinical research, and artificial intelligence. She has attended as well organized more than 15 national and international seminar/conferences/workshop. She has more than 8 patents to her credit.

Dr. Rajesh Kumar Dhanaraj is an Associate Professor at the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He holds a Ph.D. in information and communication engineering from the Anna University Chennai, India. He has contributed to 20+ books on various technologies, 35+ articles and papers in various refereed journals and international conferences, and contributed chapters to books. His research interests include machine learning, cyber-physical systems and wireless sensor networks. He is an Expert Advisory Panel Member of Texas Instruments Inc. USA.

Professor Balamurugan Balusamy served up to the position of Associate Professor in his stint of 14 years at VIT University, Vellore. He gained his Bachelors, Masters and Ph.D. from top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15+ countries for his technical course. He has several top-notch conferences on his resume and has published over 150 quality journal, conference and book chapters. He serves on the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks at various events and symposia. He is currently working as a professor at Galgotias University and teaches students, and does research on Blockchain and IOT.