[robotics-worldwide] 4th IEEE-RAS/IFRR School of Robotics Science on Learning

Monica Reggiani reggiani at metropolis.sci.univr.it
Tue Jul 3 01:10:03 PDT 2007

[with apologies for multiple copies]



4th IEEE Robotics and Automation Society (RAS) and
International Foundation of Robotics Research (IFRR)

September 24-28, 2007, Lazise, Garda Lake, Italy



****         Applications are now open            ****
****  Deadline for application is July, 20 2007    ****


The development of robust and intelligent service robots requires very advanced
capabilities, especially from a cognitive point of view. Even in simple
applications, a service robot needs to understand complex and dynamic
situations, for which no pre-programmed function can be  fully satisfactory.

Thus a robot must continuously adapt to its changing world and develop ways to
address, and possibly carry out, instances of problems for which it has not
been instructed in advance. For these reasons, learning new skills, new
settings and new ways to carry out a given task is one of the prerequisite of
future service robots.


The 4th IEEE-RAS/IFRR school, also open to participants from industry, aims at
exploring various learning paradigms and their applications in robotics systems
and, in particular, will pursue the ambitious objective of comparing their
performance in a given situation.


Speakers and topics:
Ivan Bratko, professor,
Janez Demsar, assistant professor,
Faculty of Computer and Information Sc. University of Ljubljana, Slovenia
   Machine Learning Techniques and Robotics

Ulrich Nehmzow,
reader at the Department of Computer Science, University of Essex
   Novelty Detection

Jan Peters,
researcher at the Max-Planck Institute of  Biological Cybernetics
   Imitation Learning

Erwin Prassler,
professor, Bonn-Rhein-Sieg University of Applied Sciences, Germany
   Learning by Experimentation

Jun Tani,
Lab. Head, Lab. for Behavior and Dynamic Cognition RIKEN Brain Science
Institute, Japan
   Supervised Learning

The laboratory part of the school will be organized so that students will be
able to use the learning tools available on common laboratory robot platforms
and data sets for machine learning.

Details about the program can be found at:


A workshop will be held during the summer school to summarize the state of the
art in robotic learning and its main applications.


PhD students and postdocs are encouraged to apply. Attendance is limited to 40
students only. Details regarding cost of tuition and participation in the
school will follow. A number of fellowships sponsored by IEEE-RAS and IFRR will
be available and students can apply.

In order to be considered for participation, students are required to submit an
application (in pdf) containing the following information: name and contact
details, curriculum vitae, one page description of relevant current research
project(s), motivation for participation, and a letter/email of recommendation
from their supervisor.

Application for participation must be sent to both the organizers by electronic
mail  (paolo.fiorini at univr.it and erwin.prassler at fh-brs.de) no later than July
20, 2007.


Organization and Coordination:
* Paolo Fiorini, University of Verona, Italy
* Erwin Prassler, University of Applied Science Bonn-Rhein-Sieg, Germany

Scientific Advisors:
* Ivan Bratko, University of Ljuljana
* Ruediger Dillmann (Universiteat Karlsruhe, Germany)


For all the latest information (including registration, accommodation, academic
and social programme, and student sponsorship) please visit the school web
site: http://metropolis.sci.univr.it/summerschool07

We look forward to seeing you at the summer school!

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