The “Hand-eye-brain” System of Intelligent Robot From Interdisciplinary Perspective of Information Science and Neuroscience

Introduction.- The Concept of “Attractive Region in Environment (ARIE)” and its Application in High-precision Tasks with Low-precision Systems.- The Compliance of Robotic Hands and Human-inspired Motion Model of Upper-limb with Fast Response and Learning Ability.- Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking.- Explicit Nonlinear Mapping for Manifold Learning with Neighborhood preserving polynomial embedding.- Biologically Inspired Visual Model with Memory and Association Mechanism.- Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment.- Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning.- Conclusions and Future Research Directions.

Hong Qiao received the B.Eng. degree in hydraulics and control and the M.Eng. degree in robotics from Xi’an Jiaotong University, Xi’an, China, the M.Phil. degree in robotics control from the Industrial Control Center, University of Strathclyde, Strathclyde, U.K. and the Ph.D. degree in robotics and artificial intelligence from De Montfort University, Leicester, U.K. in 1995. She is currently a '100-Talents Project' Professor with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. Her current research interests include pattern recognition, machine learning, bio-inspired intelligent robot, brain-like intelligence, robotics and intelligent agents.

Chao Ma received the B.S. degree in automation from Central South University, Changsha, China, in 2007, the M.S. degree and the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in2010 and 2015. Currently he is an assistant professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing, P.R. China. His current research interests include intelligent robot systems, intelligent agents and robot control.

Rui Li received the B.Eng degree in automation engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2013. Currently he is a PhD candidate in intelligent robot with (1) the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China and (2) University of Chinese Academy of Sciences (UCAS), Beijing, China. His current research interests include intelligent robot system, high-precision assembly, compliant manipulation for robotic systems.