Cognitive and Neural Aspects in Robotics with Applications
Call for Papers
Robotics has been widely applied for various fields such as automation and other control and engineering systems. On the other hand, recent developments of humanoid and human-like robots are a milestone in the field of robotics and they can be a platform for breaking new ground of robotics applications for human-friendly medical and welfare systems. Cognitive and learning aspects for such robots are, however, still underdeveloped compared to highly controlled mechanism of the recent robotic systems.
The main focus of this special issue will be on the cognitive aspects of robotics, especially on the neural and fuzzy basis of the human intelligence and on the fundamental model of the human cognitive and motor functions from the brain sciences point of view.
We invite authors to present original research articles as well as review articles that will stimulate the continuing efforts in developing more intelligent robotic systems. Potential topics include but are not limited to:
- Cognitive aspects of robotics
- Neural and fuzzy basis for robotic intelligence
- Human robot interactions
- Robotics for assisting physical and mental disability
Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jr/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:
| Manuscript Due | Tuesday, 01 December 2009 |
| First Round of Reviews | Monday, 01 March 2010 |
| Publication Date | Tuesday, 01 June 2010 |
Lead Guest Editor
- Madan M. Gupta, Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9
Guest Editors
- Noriyasu Homma, Research Division on Advanced Information Technology, Cyberscience Center, Tohoku University, Sendai 980-8579, Japan
- Zeng-Guang Hou, Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
- Ivo Bukovsky, Department of Instrumentation and Control Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague, 166 07 Prague 6, Czech Republic