Skip to content

Latest commit

 

History

History
92 lines (58 loc) · 3.59 KB

call-for-papers.md

File metadata and controls

92 lines (58 loc) · 3.59 KB
Raw

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, task/motion planning, communication), 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 ([email protected])
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,