IEEE Robotics and Automation Magazine
Special Issue on Robot Learning in Practice
Deadline : October 1st 2009
Issue date: June 2010

IEEE Robotics and Automation Magazine (RAM) seeks articles for this special issue, scheduled for publication in June 2010. There is an increasing interest in machine learning and statistics within the robotics community. At the same time, there has been a growth in the learning community in using robots as motivating applications for new algorithms and formalisms. Considerable evidence of this exists in the use of learning in high-profile competitions such as RoboCup and the DARPA Challenges, and the growing number of research programs funded by governments around the world.

The special issue is intended to publish contributions on robot learning algorithms with practical applications. Areas of research interest include:

•learning models of robots, task or environments.
•learning hierarchical representations from sensor inputs and motor outputs to task abstractions.
•learning of plans and control policies by imitation and reinforcement learning.
•extraction of low-dimensional task relevant representations for robot learning.
•learning robust policies that work in real environments.
•state estimation algorithms for robot learning.

Articles must be around a nominal length of eight pages each. See also “Required length” in the instruction page:
http://www.ieee-ras.org/ram/for_authors#contr

We encourage submission of supplementary material such as experiment videos and source code. See also the instruction page:
http://www.ieee-ras.org/ram/for_authors#multimedia

Submission instructions can be found at the following address:
http://www.ieee-ras.org/ram/for_authors

IEEE Robotics and Automation Magazine: Special Issue page:
http://www.ieee-ras.org/issue/show/id/14

Guest Editors:

Jun Morimoto
Department of Brain Robot Interface
ATR Computational Neuroscience Laboratories
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan
E-mail : xmorimo@atr.jp

Chad Jenkins
Department of Computer Science
Brown University,
115 Waterman St, 4th Floor
Providence, RI, USA 02912-1910
E-mail: cjenkins@cs.brown.edu

Marc Toussaint
Berlin Machine Learning and Robotics Group
TU Berlin
Franklinstr. 28/29 FR6-9
10587 Berlin, Germany
E-mail: mtoussai@cs.tu-berlin.de