This book introduces readers to power robot systems and their applications in the electric power industry. Specifically, the book delves into the research status, technological advancements, challenges encountered, and future potential applications of power operation robots across various stages of power systems. The book provides the latest technological advancements, including in-depth analysis of power operation robots, research directions, and key contributions. Understanding how these robots enhance the monitoring and maintenance efficiency of power systems, mitigate failure risks, and address the challenges of operation and maintenance in complex and large-scale networks is crucial.
The topics covered in the book include mobile robot control, navigation, robotic arm control, inverse kinematics algorithms, image recognition, visual calibration, object grasping, and unmanned aerial robotic manipulation. The book is interwoven with practical application tasks typical of power industry, which are essential for mastering the design, application, and development trends of electric power robots.
The content is easy to understand and rich in information. This book can serve as a reference for researchers specializing in power system automation, robotics, control theory, and artificial intelligence. For professionals working in power companies, robot manufacturers, system integrators, and related industries, this book offers practical guidance and solutions. For educators teaching courses in electrical engineering, robotics, automation control, and artificial intelligence, this book provides up-to-date knowledge and real-world examples to enhance classroom engagement and teaching quality. For undergraduate students majoring in electrical engineering, automation, robotics, and related fields, this book can serve as supplementary reading material to expand their knowledge base and ignite their passion for science and technology.
Yaonan Wang received the B.S. degree in computer engineering from East China University of Science and Technology, Fuzhou, China, in 1981 and the M.S. and Ph.D. degrees in control engineering from Hunan University, Changsha, China, in 1990 and 1994, respectively. He was a Post-Doctoral Research Fellow with the National University of Defense Technology, Changsha, from 1994 to 1995, a Senior Humboldt Fellow in Germany from 1998 to 2000, and a Visiting Professor with the University of Bremen, Bremen, Germany, from 2001 to 2004. He has been a Professor with Hunan University since 1995. He has been an academician of China Engineering Academy since 2019. His research interests include intelligent control, information processing, and image processing.
Yanjie Chen received the B.S. degree in electrical engineering and its automation from Southwest Jiaotong University, Chengdu, China in 2011, the M.S. and Ph.D. degrees in control science and engineering from Hunan University, Changsha, China, in 2013 and 2017, respectively. He was awarded the Newton International Fellowships 2022 by the Royal Society, UK. He is currently an Associate Professor with School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China. He is also a Royal Society Newton International Fellow with Department of Computer Science, Aberystwyth University, Aberystwyth, UK, and an Scientist with the National Engineering Research Center of Robot Visual Perception and Control Technology, Changsha, China. His research interests include robotics, aerial manipulator, motion planning, and control.
Hang Zhong received the B.S., M.S., and Ph.D. degrees in automation science from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2013, 2016, and 2020, respectively. From 2020 to 2022, he was a Post-Doctoral Fellow with the Department of Electrical and Information Engineering, Hunan University. He is currently an Associate Professor with the School of Robotics, Hunan University. His research interests include aerial robotics, multi-robot systems, visual servoing, visual navigation, and nonlinear control.
Jiacheng Liang received the B.S. degree in mechanical design manufacture and automation and the M.S. degree in mechatronic engineering from Fuzhou University, Fuzhou, China, in 2019 and 2022, respectively. He is currently pursuing the Ph.D. degree in control science and engineering with Hunan University, Changsha, China. His research interests include robotics, aerial manipulator robot, control theory and application, and aerial manipulation.
