[Comp-neuro] CfP: 2008 ECSIS Symposium on Learning and Adaptive Behaviour in Robotic Systems, Edinburgh, Scotland (Aug 6-8, 2008)

[Sethu Vijayakumar]

First call for papers
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ECSIS Symposium on Learning and Adaptive  Behavior in Robotic Systems 
(LAB-RS 2008)
Edinburgh, Scotland   Aug 6-8, 2008.  (http://www.see.ed.ac.uk/labrs08 )
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Scope:   Learning and adaptive behaviors are key to robotics system 
operation in real world environments. While there have been important 
developments at the theoretical level and in simulations or laboratory 
environments, the transfer of these methods onto real-world platforms 
has been limited.

This symposium will bring together researchers from academia and 
industry to report on new concepts, laboratory demonstrations, and 
fielded robotic systems that exhibit learning and adaptive behaviors. 
The goal of the symposium is to roadmap future directions for 
development of robotic systems with capabilities comparable to those of 
biological systems.

The Proceedings will be published by the IEEE Computer Society Press. 
This Symposium  is being held in conjunction with the ECSIS Symposium on 
Bio-inspired Learning and Intelligent Systems for Security (BLISS-2008) 
to be held in Edinburgh on Aug 4-6, 2008.

The schedule is:
Deadline for abstracts/papers:  March 31, 2008
Author notification:                   April 18, 2008
Camera ready:                         May 4, 2008
Author/Early registration:          June 30, 2008

More details about suggested paper topics and the paper submission link 
which is now open can be found on the website for the Symposium:
http://www.see.ed.ac.uk/labrs08


Symposium Chair:            Terry Huntsberger (JPL, USA)
Symposium Co-Chairs:    Tughrul Arsian (Univ. Edinburgh, UK)  and Sethu 
Vijayakumar (Univ. Edinburgh, UK)


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Sethu Vijayakumar, Ph.D.              Reader (Associate Professor)
Director, IPAB, School of Informatics, The University of Edinburgh
2107F JCMB, The Kings Buildings, Edinburgh EH9 3JZ, United Kingdom
URL: http://homepages.inf.ed.ac.uk/svijayak Ph: +44(0)131 651 3444
SLMC Research Group URL: http://www.ipab.informatics.ed.ac.uk/slmc
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Adjunct Faculty, Department of Computer Science
University of Southern California, Los Angeles, CA, USA 90089-0781
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Microsoft Research & Royal Academy of Engg. Senior Research Fellow
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