CFP: Workshop on Learning in Autonomous Robots

[Lisa Meeden]

			     ROBOLEARN-96
     An International Workshop on Learning for Autonomous Robots
			Key West, Florida, USA
			   May 19-20, 1996

		     Preliminary Call For Papers
				   
This workshop will be held in conjunction with FLAIRS-96.
See http://www.cis.ufl.edu/~ddd/FLAIRS/FLAIRS-96/

Designing robots that can accomplish tasks in the real world is a
difficult problem due to the complexity and unpredictability of the
environment.  Thus, really useful robots and autonomous creatures must
learn new know-how and improve on old know-how to be successful.  This
know-how may involve developing maps, action policies, or more basic
reactive responses to incoming perceptual data.  Autonomous agents may
adapt through associative mechanisms such as neural networks,
inductive techniques such as reinforcement learning, evolutionary
processes such as genetic algorithms, or analytic techniques such as
explanantion-based learning. Machine learning is a large research area
within which we wish to focus on learning techniques viable for robots
and autonomous agents that must operate in complex environments.
These learning techniques can be used to improve lower level motor and
perceptual skills (such as vision) or higher level reasoning skills.
We prefer results with implemented physical agents.  More than what is
learned, we are interested in discussion of well established as well
as novel learning techniques, and in learning issues that remain as
open problems.

SUBMISSION

Authors must submit, by ftp, a compressed postscript version of their
paper which should be at most 10 double-spaced pages.  The first page
should include the title but should not identify the author in any
manner.  A separate cover page should also be submitted containing the
author's name, physical address, email address, phone number,
affiliation and paper title.  In cases of multiple authors, all
correspondence will be sent to the first author unless otherwise
requested.

ftp ftp.cs.buffalo.edu 
and put your submission in users/hexmoor/robolearn96

Papers must be received by December 15, 1995.  Authors of accepted
papers will be notified by February 15, 1996.  The final camera-ready
copy of the papers will be expeced by April 15, 1996.  Final papers
must consist of at most 5 galley pages.

For those who can't submit papers electronically and all other
communications direct your communication to the following address:

ROBOLEARN-96 
Henry Hexmoor
Dept. of Computer Science 
SUNY at Buffalo
Buffalo, NY 14260, USA
Email: hexmoor at cs.buffalo.edu

PUBLICATION

All accepted papers will be published in the workshop proceedings. In
addition, a selected subset of the papers will be invited for
inclusion (subject to refereeing) in a book or in a special issue of a
journal.

ORGANIZATION

Chairs:

Henry Hexmoor, SUNY Buffalo
Lisa Meeden, Swarthmore College

PROGRAM COMMITTEE

Minoru Asada, Osaka University 
George Bekey, USC 
Doug Blank, Indiana University
Long-Ji Lin, Siemens
Gary McGraw, Indiana University 
Sridhar Mahadevan, University of South Florida
Ulrich Nehmzow, University of Manchester
Ashwin Ram, Georgia Tech
Justinian Rosca, University of Rochester
Sebastian Thrun, U of Bonn (and CMU)
Toby Tyrrell, Plymouth Marine Laboratory
Brian Yamauchi, The Institute for the Study of Learning and Expertise
and Stanford CSLI

See WWW page for latest detail
http://ww.cs.buffalo.edu/~hexmoor/robolearn-96