[Amdnl] CFP: Machine Learning in Biomorphic Robots - Special Session at ESANN2017

[Matthias Rolf]

European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning

Special Session on *Machine Learning in Biomorphic Robots*

Call for papers

Biological organisms continue to be a primary inspiration for the design 
and development of robotic devices, informing not only the physical 
design of the robot, but also its movement and sensing characteristics. 
Robots that are biologically inspired often have novel physical designs 
that challenge standard approaches to control. This special session 
seeks to bring together state-of-the-art research on the application of 
machine learning to all aspects of biomorphic robot development and 
control. The session will include a tutorial session on bio-inspired 
learning approaches that align with the bio-inspired physical design, 
with a case study on a humanoid musculoskeletal head and neck robot.

Organized by Nigel Crook, Matthias Rolf, Tjeerd Olde Scheper (Oxford
Brookes Univ., UK)

Paper submissions are made through the ESANN website:
https://www.elen.ucl.ac.be/esann/index.php?pg=welcome

*Deadline – 19th November 2016*


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Dr.-Ing. Matthias Rolf             www.matthias-rolf.blogspot.com
Senior Lecturer
Oxford Brookes University                Cognitive Robotics Group
cct.brookes.ac.uk/research/isec/cognitive-robotics/
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