[robotics-worldwide] CFP: Qualitative Representations for Robots, AAAI Spring Symposium 2014

Nick Hawes n.a.hawes at cs.bham.ac.uk
Fri Aug 23 03:03:09 PDT 2013


Qualitative Representations for Robots  
AAAI Spring Symposium 2014  
March 24–26, 2014 at Stanford University in Palo Alto, California


The fields of AI and robotics have many approaches to representation and reasoning. This AAAI 2014 Spring Symposium focusses on one approach which has been growing in popularity in recent years: qualitative representations. Such representations abstract away from the quantitative features that underlie many physically situated systems, providing compact, structured representations which omit (unnecessary) detail. Qualitative representations have many advantages, including naturally encoding semantics for many systems, being accessible to humans, providing smaller state spaces for learning, allowing to build robust and complex applications and also suitability for communication. These advantages have seen them being increasingly used in intelligent, physically-grounded systems. This work is being done across many different subfields of AI including knowledge representation and reasoning, planning, learning, and perception. We strongly believe that the time is now right to bring these disparate groups together to share experiences and technical knowledge. We also wish to connect recent robotics work on qualitative representations to the rich history of related ideas in AI.

This symposium will address topics related to the use of qualitative representations or reasoning on robotics problems (e.g learning, perception, task/motion planning, interaction etc.), including qualitative representations of

* space
* motion
* time
* uncertainty
* action/behaviour
* appearance
* context
* categorical or functional knowledge

We particularly encourage contributions that exploit the key features of qualitative approaches to provide new functionality to robots, e.g. to exploit coarse background knowledge or to learn from experience over long periods or across large-scale space.

This event runs in parallel with the symposium on "Knowledge Representation and Reasoning in Robotics". Due to the overlapping nature of these events, we will have joint sessions and coordinate our activities.

For more information see http://strands-project.eu/qualitative-representations-for-robots.html

For more AI and Robotics see http://ai-robotics.wikispaces.com/events

## Schedule 

Paper submission: October 4th, 2013
Notification:  November 8th, 2013
Symposium: March 24th–26th, 2014 at Stanford University in Palo Alto, California

## Submissions

Paper submissions should be in AAAI format, no longer than 8 pages including figures and references. Shorter papers (2-4 pages) can be submitted for demonstrations.

Submissions should be made via https://cmt.research.microsoft.com/QRR2014

## Symposium Chair

Nick Hawes (n.a.hawes at cs.bham.ac.uk)  
University of Birmingham 

## Organising Committee

Alper Aydemir  
NASA Jet Propulsion Laboratory 

Chris Burbridge, Lars Kunze  
University of Birmingham

Marc Hanheide, Nicola Bellotto  
University of Lincoln

Luca Iocchi, Daniele Nardi  
"Sapienza" Universita' di Roma  

Patric Jensfelt, John Folkesson  
Kungliga Tekniska Högskolan

Michael Karg  
Technische Universität München  

John D. Kelleher  
Dublin Institute of Technology

Alexandra Kirsch  
University of Tübingen

Matthew Klenk  
Palo Alto Research Center  

Kate Lockwood  
California State University, Monterey Bay

Fiona McNeill  
University of Edinburgh

Andrzej Pronobis  
University of Washington

Diedrich Wolter	 
Universität Bremen

Jure Zabkar  
University of Ljubljana

Dr. Nick Hawes

Senior Lecturer, School of Computer Science, University of Birmingham
www.cs.bham.ac.uk/~nah || +44 121 414 3739 || skype: nickhawes

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