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.
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