A Survey of Human-centered Intelligent Robots: Issues and Challenges

Wei He; Zhijun Li; C. L. Philip Chen

doi:10.1109/JAS.2017.7510604

Volume 4 Issue 4

Oct. 2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(4): 602-609

Wei He, Zhijun Li and C. L. Philip Chen, "A Survey of Human-centered Intelligent Robots: Issues and Challenges," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 602-609, Oct. 2017. doi: 10.1109/JAS.2017.7510604

Citation:

Wei He, Zhijun Li and C. L. Philip Chen, "A Survey of Human-centered Intelligent Robots: Issues and Challenges," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 602-609, Oct. 2017. doi: 10.1109/JAS.2017.7510604

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A Survey of Human-centered Intelligent Robots: Issues and Challenges

doi: 10.1109/JAS.2017.7510604

Wei He^1
,,
Zhijun Li^{2
,
,},
C. L. Philip Chen^3
,

1.
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2.
College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China
3.
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 99999, China

Funds:

Guangzhou Research Collaborative Innovation Projects 2014Y2-00507

Guangdong Science and Technology Research Collaborative Innovation Projects 2014B090901056

the National Natural Science Foundation of China 61573147

the National Natural Science Foundation of China 61761130080

the National Natural Science Foundation of China 61625303

Guangdong Science and Technology Research Collaborative Innovation Projects 2013B010102010

Guangdong Science and Technology Plan Project (Application Technology Research Foundation) 2015B020233006

National High-Tech Research and Development Program of China (863 Program) 2015AA042303

the National Natural Science Foundation of China 61522302

the National Natural Science Foundation of China 91520201

Guangdong Science and Technology Research Collaborative Innovation Projects 2015B020214003

More Information

Author Bio:
Wei He (S'09-M'12-SM'16) received the B.Eng. degree from College of Automation Science and Engineering, South China University of Technology (SCUT), China, in 2006, and the Ph.D. degree from Department of Electrical & Computer Engineering, the National University of Singapore (NUS), Singapore, in 2011. He worked as a Research Fellow in the Department of Electrical and Computer Engineering, NUS, Singapore, from 2011 to 2012. He is currently working as a Full Professor in School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. He has co-authored 1 book published in Springer and published over 100 international journal and conference papers. He serves as an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics:Systems and IEEE Access, a Leading Guest Editor for of IEEE Transactions on Neural Networks and Learning Systems special issue on "Intelligent Control Through Neural Learning and Optimization for Human Machine Hybrid Systems", and an Editor of Journal of Intelligent & Robotic Systems and IEEE/CAA Journal of Automatica Sinica. His current research interests include robotics, distributed parameter systems and intelligent control systems. (e-mail: weihe@ieee.org)

Zhijun Li (M'07-SM'09) received the Ph.D. degree in mechatronics, Shanghai Jiao Tong University, China, in 2002. From 2003 to 2005, he was a Postdoctoral Fellow in Department of Mechanical Engineering and Intelligent systems, The University of Electro-Communications, Tokyo, Japan. From 2005 to 2006, he was a Research Fellow in the Department of Electrical and Computer Engineering, National University of Singapore, and Nanyang Technological University, Singapore. Since 2012, he is a Professor in College of Automation Science and Engineering, South China university of Technology, Guangzhou, China.
From 2016, he has been the Chair of Technical Committee on Biomechatronics and Biorobotics Systems (B²S), IEEE Systems, Man and Cybernetics Society. He is serving as an Editor-at-large of Journal of Intelligent & Robotic Systems, and Associate Editors of several IEEE Transactions. He has been the General Chair and Program Chair of 2016 and 2017 IEEE Conference on Advanced Robotics and Mechatronics, respectively. Dr. Li's current research interests include service robotics, tele-operation systems, nonlinear control, neural network optimization, etc. (e-mail: zjli@ieee.org)

C. L. Philip Chen (S'88-M'88-SM'94-F'07) received the M.S. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1985 and the Ph.D. degree in electrical engineering from Purdue University, West Lafayette, IN, in 1988. Currently, he is the Dean of the Faculty of Science and Technology, University of Macau, Macau, China and a Chair Professor of the Department of Computer and Information Science. Dr. Chen is a Fellow of the IEEE and the AAAS. He is the Editorin-Chief of IEEE Transactions on Systems, Man, and Cybernetics:Systems (2014-) and Associate Editor of several IEEE Transactions. His research areas are systems, cybernetics, and computational intelligence. He was the President of IEEE Systems, Man, and Cybernetics Society (2012-2013) and was the General Chair of SMC 2009 annual conference and Program Chair of SMC 2014 in addition to serving as general/program chair of many international conferences. He is also an ExCom member of Chinese Association of Automation (CAA), a Fellow of CAA, a Fellow of HKIE, an Associate Editor-in-Chief for Communication of CAA, the Chair of TC 9.1 Economic and Business Systems of IFAC, and a Program Evaluator of ABET (Accreditation Board of Engineering and Technology) in electrical engineering, comp engineering, and software engineering. (e-mail: philip.chen@ieee.org)
Corresponding author: Zhijun Li, e-mail:zjli@ieee.org
Received Date: 2017-04-02
Accepted Date: 2017-05-15
Publish Date: 2017-10-01

Abstract

Abstract

Intelligent techniques foster the dissemination of new discoveries and novel technologies that advance the ability of robots to assist and support humans. The human-centered intelligent robot has become an important research field that spans all of the robot capabilities including navigation, intelligent control, pattern recognition and human-robot interaction. This paper focuses on the recent achievements and presents a survey of existing works on human-centered robots. Furthermore, we provide a comprehensive survey of the recent development of the human-centered intelligent robot and discuss the issues and challenges in the field.
- Human-centered robots,
- human-robot interaction,
- intelligent control,
- navigation,
- path planning,
- pattern recognition

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References(91)

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A Survey of Human-centered Intelligent Robots: Issues and Challenges

doi: 10.1109/JAS.2017.7510604

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