Robots have found increasing applications in industry, service, and medicine due to the great success achieved on robotics research over the past decades. Robots can now accomplish many complex manipulations, such as automatic assembly and welding in industry. However, much room remains for improvement in flexible manipulation and hand-eye coordination of robotic systems compared to human beings.Humans are able to achieve excellent hand-eye coordination and flexible manipulation at the same time, through a redundant, nonlinear, and complex movement system that is controlled by neural signals from the central and peripheral nervous systems. Nowadays, the interaction between brain science and information science promotes brain-inspired intelligence, which evokes new ideas in both fields. Moreover, this may provide a new direction for robotic research and bring up solutions to address the current bottlenecks. To achieve better hand-eye coordination as in humans, a brain-inspired integration model is required, which integrates cognition, motion, manipulation, emotion, and decision-making of the robot in a coordinated way. Two main challenges remain open, namely, which mechanisms in the brain could be introduced into the model to improve performance, and how to implement the biological mechanisms properly and efficiently in the model.
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Institute of Automation, Chinese Academy of Sciences, China
Department of Computer Science and Technology, Tsinghua University, China
Department of Informatics, Technical University of Munich, Germany
School of Automation Engineering, University of Electronic Science and Technology of China, China.