[info] [Comp-neuro] IEEE RAS Workshop on Robot Learning

Eugen Leitl <eugen at leitl.org> on Sun Jun 1 20:16:07 UTC 2008

----- Forwarded message from Russ Tedrake <russt at mit.edu> -----

From: Russ Tedrake <russt at mit.edu>
Date: Wed, 28 May 2008 21:50:55 +0200
To: Jan Peters <mail at jan-peters.net>
Cc: chairs at learning-robots.de, Nicholas Roy <nickroy at mit.edu>
Subject: [Comp-neuro] IEEE RAS Workshop on Robot Learning
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Reply-To: chairs at learning-robots.de

===========================================================

		  Call for Participation
	    IEEE RAS Workshop on Robot Learning

===========================================================

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 chairs at 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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