[agents] AAAI Spring Symposium (2014) on Knowledge Representation and Reasoning in Robotics

[Mohan Sridharan]

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Knowledge Representation and Reasoning in Robotics
AAAI Spring Symposium Series 2014

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SCHEDULE

Paper submission: October 8, 2013
Notification:  November 8, 2013
Symposium: March 24-26, 2014 at Stanford University, USA

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Robots and agents deployed in homes, offices and other complex domains are
faced with the formidable challenge of representing, revising and reasoning
with incomplete domain knowledge acquired from sensor inputs and human
feedback. Although many algorithms have been developed for qualitatively or
quantitatively representing and reasoning with knowledge, the research
community is fragmented, with separate vocabularies that are increasingly
making it difficult for these researchers to communicate with each other.
For instance, the rich body of research in knowledge representation using
logical reasoning paradigms provides appealing commonsense reasoning
capabilities, but does not support probabilistic modeling of the
considerable uncertainty in sensing and acting on robots. In parallel,
robotics researchers are developing sophisticated probabilistic algorithms
that elegantly model the uncertainty in sensing and acting on robots, but
it is difficult to use such algorithms to represent and reason with
commonsense knowledge. Furthermore, algorithms developed to combine logical
and probabilistic reasoning do not provide the desired expressiveness for
commonsense reasoning and/or do not fully support the uncertainty modeling
capabilities required in robotics.

The objective of this symposium is to promote a deeper understanding of
recent breakthroughs and challenges in the logical reasoning and
probabilistic reasoning communities. We seek to encourage collaborative
efforts towards building knowledge representation and reasoning
architectures that support qualitative and quantitative descriptions of
knowledge and uncertainty.

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TOPICS

We are interested in efforts that integrate, or motivate an integration of,
logic-based and probabilistic algorithms for knowledge representation
and/or commonsense reasoning on one or more robots or agents in different
application domains. Topics of interest include (but are not limited to):

 *  Knowledge acquisition and representation.
 *  Combining symbolic and probabilistic representations.
 *  Reasoning about uncertainty.
 *  Reasoning with incomplete knowledge.
 *  Interactive and cooperative decision-making.
 *  Learning and symbol grounding.
 *  Commonsense reasoning.

We also encourage the submission of papers that ground these topics in
research areas such as robot vision, human-robot (and multirobot)
collaboration, and robot planning.

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FORMAT & SUBMISSIONS

The symposium will consist of paper and poster presentations, invited
talks, breakout sessions, and demos. Interested participants may submit:
(1) regular papers (8 pages in the AAAI format); or (2) poster papers (4
pages in AAAI format) at the following web site:
https://www.easychair.org/conferences/?conf=krr2014

For more information about the symposium:
http://www.cs.ttu.edu/~smohan/krr_aaai14/

If your research is primarily in qualitative representations for robots,
please consider submitting your paper to a parallel symposium:
http://strands-project.eu/qualitative-representations-for-robots.html

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ORGANIZING COMMITTEE

Mohan Sridharan
Texas Tech University, USA
mohan.sridharan at ttu.edu

Fangkai Yang
The University of Texas at Austin, USA
fkyang at cs.utexas.edu

Subramanian Ramamoorthy
The University of Edinburgh, UK
s.ramamoorthy at ed.ac.uk

Volkan Patoglu
Sabanci University, Turkey
vpatoglu at sabanciuniv.edu

Esra Erdem
Sabanci University, Turkey
esraerdem at sabanciuniv.edu

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