RAS Workshop on Robot Learning

==========================================================          Call for Participation
     IEEE
========================================================== We are soliciting papers in the second Workshop on Robotics Challenges for Machine Learning, to occur on
September 22nd, 2008,
at IROS 2008 in Nice, France (http://www.learning-robots.de/TC / IROS2008).
Contributions are sought in the following areas:
* learning models of robots, tasks or environments * learning plans and control policies by imitation and reinforcement learning * representations which facilitate learning, such as low-dimensional embeddings of movements * learning representations and task abstractions by unsupervised learning * probabilistic inference of task parameters from multi-modal sensory information * integration of learning into control architectures.
This workshop will also serve to kick-off the new IEEE Technical Committee (TC) on Robot Learning.
Contributions to the workshop are solicited in the form of poster presentations. In order to present a poster at the workshop, please send a 1 page abstract including a title, list of authors and affiliations, and brief description of the work (challenge, problem formulation, or solution technique) to snipped-for-privacy@learning-robots.de.
The intended audience is robotics researchers who are actively engaged in machine learning research, or who are interested in exploring machine learning ideas in their future work. We would specifically like to encourage students to participate.
Important Dates:
* July 21 - Abstract Submission Deadline * July 28 - Notification of Acceptance * September 22 - Workshop at IROS.
See http://www.learning-robots.de/TC/IROS2008 for more information.
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