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Synopsis
This book describes visual perception and control methods for robotic systems that need to interact with the environment. Multiple view geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to develop general solutions for robot perception and control tasks. In this book, multiple view geometry is used for geometric modeling and scaled pose estimation. Then Lyapunov methods are applied to design stabilizing control laws in the presence of model uncertainties and multiple constraints.
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About the Author
Jian Chen in 2013 joined the Department of Control Science and Engineering, Zhejiang University, where he is currently a Professor with the College of Control Science and Engineering. He has been supported by the Chinese Recruitment Program of Global Youth Experts since 2013, and the Key Program of National Natural Science Foundation of China on Modeling and Control of Fuel Cell vehicles since 2015.
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