CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
X-To:
Date:
Wed, 18 Mar 2009 18:36:43 +0900
Reply-To:
Dana Kulic <[log in to unmask]>
Subject:
From:
Dana Kulic <[log in to unmask]>
X-cc:
Jan Peters <[log in to unmask]>, Pieter Abbeel <[log in to unmask]>
Content-Transfer-Encoding:
quoted-printable
Content-Type:
text/plain; charset="ISO-8859-2"
MIME-Version:
1.0
Parts/Attachments:
text/plain (80 lines)
CALL FOR POSTER SUBMISSIONS

RSS 2009 Workshop on bridging the gap between high-level discrete
representations and low-level continuous behaviors

http://learning-robots.de/TC/RSS2009

Sunday, June 28, 2009 in Seattle, WAá
As part of the Robotics: Science and Systems Conference
(www.roboticsconference.org) 

Important Dates

April 20, 2009  Poster Abstract Submission Deadline
May 15, 2009  Notification of Acceptance
June 28, 2009  Workshop

Introduction

Recently, robotics researchers have been investigating the modeling of human
and robot behavior in terms of motion primitives. This research direction,
based on biological and neuroscience findings, posits that human behavior is
composed of motor primitive units, which can be acquired by a robot through
imitation learning or practice. Motion primitives offer an approach for
discretizing continuous behavior, representing a "bottom-up" approach for
organizing robot behavior.á On the other hand, in AI and planning fields,
there has been a longstanding area of research in planning and acting in the
discrete domain, or through modeling changes in the world as an
instantaneous change in discrete state. This approach can be thought of as a
"top-down" approach for organizing robot behavior. In this workshop, we hope
to bring together researchers from both areas to discuss approaches for
"bridging the gap" and combining continuous domain approaches with discrete
representations.

Topics of Interest

We invite poster submissions from researchers working on combining discrete
representations with continuous behaviors for robotic systems.á Specific
topics of interest include: 
á 
-ááááááááá motion primitive representations and task abstractions 
-ááááááááá learning and parsing sequences and plans of motion primitives 
-ááááááááá imitation learning and learning from observation based on motion
primitives 
-ááááááááá hierarchical reinforcement learning 
-ááááááááá apprenticeship learning of composed tasks 
-ááááááááá hybrid task control 
-ááááááááá hierarchical organization of behaviors 
-ááááááááá learning operator conditions for primitives 
-ááááááááá plan recognition 
-ááááááááá plan generation and modification 

Submission Guidelines

Authors should submit a 1-2 page abstract of their poster by email to
[log in to unmask], by April 20, 2009.


Workshop Organizers 
Dana KuliŠ 
Department of Mechano-Informatics 
University of Tokyo 
[log in to unmask]

Pieter Abbeel 
Department of Electrical Engineering and Computer Science 
University of California at Berkeley 
[log in to unmask] 

Jan Peters 
Department for Empirical Inference and Machine Learning 
Max Planck Institute of Biological Cybernetics 
[log in to unmask] 

    ---------------------------------------------------------------
                To unsubscribe, send an empty email to
     mailto:[log in to unmask]
    For further details of CHI lists see http://sigchi.org/listserv
    ---------------------------------------------------------------

ATOM RSS1 RSS2