Xj Jing

City University of Hong Kong China

Xingjian Jing received the B.S. degree from Zhejiang University, Hangzhou, China, in 1998, the M.S. degree from the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2001, and the Ph.D. degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2008. He is currently an Assistant Professor in the Department of Mechanical Engineering, Hong Kong Polytechnic University (PolyU), Hong Kong. Before joining PolyU, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, Southampton, U.K., from August 2008 to November 2009, where he worked on biological signal processing in collaboration with neuroscientists and funded by the Biotechnology and Biological Sciences Research Council (U.K.). He has published more than 50 papers in refereed journals and conference proceedings. His current research interests include system identification, signal processing, control of complex nonlinear systems, nonlinear analysis in the frequency domain, intelligent computing methods and their applications in nonlinear mechanical systems (sound and vibration control), nonlinear physiological systems (neural systems), robotic systems, and others.

Xj Jing

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Latest work with IntechOpen by Xj Jing

In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.

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