[robotics-worldwide] Deadline extended: Workshop on Knowledge Representation and Reasoning in Robotics @ ICLP 2013

Mohan Sridharan mhnsrdhrn at gmail.com
Sun Jun 2 00:02:13 PDT 2013


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Call for Papers and Poster Abstracts

ICLP 2013 Workshop on Knowledge Representation and Reasoning in
Robotics

Location: Istanbul, Turkey.
Date of Workshop: August 25, 2013.

Workshop web site: http://www.cs.ttu.edu/~smohan/krr_iclp13/


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Mobile robots (and agents) are increasingly being used in a range of
application domains such as disaster rescue, surveillance, health care
and navigation. A formidable challenge to the widespread deployment of
robots in our homes, offices and other complex domains is the ability
to represent, reason with and revise incomplete and inconsistent
domain knowledge obtained from sensor inputs and high-level human
feedback. Although many algorithms have been developed for
representing and reasoning with domain knowledge, the research
community is fragmented, with separate vocabularies that are
increasingly (and ironically) making it difficult for these
researchers to communicate with each other. As a result, the rich body
of research in knowledge representation for cognitive agents is not
fully exploited by robotics researchers. For instance, declarative
programming paradigms provide non-monotonic reasoning capabilities
essential for robotics, although they do not always consider the
challenge of modeling the uncertainty in robot application domains. In
parallel, many robotics researchers are developing probabilistic
reasoning algorithms that elegantly model the uncertainty in sensing
and navigation on robots, although it is a challenge to use such
algorithms to represent and reason with commonsense knowledge. In
recent years, algorithms have also been developed for combining
logical and probabilistic reasoning, but these algorithms do not
support the desired knowledge representation and reasoning
capabilities, or fail to address problems that are well understood in
the logic programming community.

The objective of this workshop is to promote a deeper understanding of
recent breakthroughs and tough challenges in the logical programming
and probabilistic robotics communities, resulting in collaborative
efforts towards addressing the knowledge representation and reasoning
challenges in robotics. Topics of interest include (but are not
limited to):

 *  Knowledge acquisition and representation.
 *  Reasoning with incomplete and inconsistent knowledge.
 *  Reasoning about actions and change.
 *  Planning and scheduling.
 *  Learning and symbol grounding.
 *  Cognitive architectures.
 *  Multiagent systems.

We are especially interested in papers describing efforts to integrate
knowledge representation, logical reasoning and/or probabilistic
reasoning on robots and agents in different application domains.

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PAPER SUBMISSION

Paper submissions can be in one of the following categories:

* Regular paper: the length of regular papers (including figures and
bibliography) should not exceed 12 pages.

* Poster/summary paper: the length of poster/summary papers (including
all figures and bibliography) should not exceed 4 pages.

Papers must be written in English using the same format used for ICLP
submissions: http://www.iclp2013.org/en/Submissions.html

Easychair paper submission web site:
https://www.easychair.org/conferences/?conf=krr2013

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IMPORTANT DATES

Submission deadline:     June 15, 2013
Notifications:                 July 1, 2013
Camera-ready deadline:  July 12, 2013
Workshop at ICLP:         August 25, 2013

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ORGANIZERS

Mohan Sridharan
Department of Computer Science
Texas Tech University, USA
http://www.cs.ttu.edu/~smohan/

Fangkai Yang
Department of Computer Sciences
The University of Texas at Austin, USA
http://www.cs.utexas.edu/~fkyang

Volkan Patoglu
Mechatronics Program
Faculty of Engineering and Natural Sciences
Sabanci University, Istanbul, Turkey
http://myweb.sabanciuniv.edu/vpatoglu/

Peter Schueller
Computer Science Program
Faculty of Engineering and Natural Sciences
Sabanci University, Istanbul, Turkey
http://www.peterschueller.com/

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