综合新闻

程洪老师受邀担任IEEE Transaction on Cognitive and Developmental Systems 期刊“Brain-inspired Integration Model for Cognition and Motion”专辑的客座编辑（Guest Editor）。此专辑拟专题报道在科学前沿的用于脑动协调（包括认知，运动，决策，操作，情感以及与机器人的交互）的脑启发模型，专刊的征稿通知如下:

           IEEE Transactions on Cognitive and Developmental Systems Special Issue on Brain-inspired Integration Model for Cognition and Motion

I. Aim And Scope

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.

II. Themes

This special issue aims to report the recent advances in brain-inspired modeling for visuomotor coordination, which includes cognition, motion, manipulation, decision, emotion and their integration in robotics. Topics relevant to this special issue include, but are not limited to:

1. Brain-inspired vision model for flexible manipulation

2. Brain-inspired algorithms on visual-guided manipulation

3. Brain-inspired learning algorithms for visuomotor coordination tasks

4. Attention model for cognition and manipulation

5. Working memory model for manipulation learning

6. Model of emotion effects on cognition and manipulation

III. Submission

Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/publications.htmland submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieeeand please select the category “SI: Brain-inspired integration model”.

IV. Important Dates

• 15 Feb 2017 – Deadline for manuscript submission

• 15 May 2017 – Notification of authors

• 15 Jun 2017 – Deadline for revised manuscripts

• 15 Aug 2017 – Final version

• For further information, please contact one of the following Guest      Editors.

V. Guest Editors

• Prof. Hong Qiao

Institute of Automation, Chinese Academy of Sciences, China

hong.qiao@ia.ac.cn

• Prof. Fuchun Sun

Department of Computer Science and Technology, Tsinghua University, China

fcsun@tsinghua.edu.cn

•  Prof. Alois Knoll

Department of Informatics, Technical University of Munich, Germany

knoll@in.tum.de

•  Prof. Hong Cheng

School of Automation Engineering, University of Electronic Science and Technology of China, China.

hcheng@uestc.edu.cn