Connectionists: Special Issue on "Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence"
Agostino Gibaldi
agostino.gibaldi at unige.it
Fri Oct 18 13:32:37 EDT 2013
Please accept our apologies if you receive multiple copies of this CFP!
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*CALL FOR PAPERS*
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Robotics and Autonomous Systems Journal
Special Issue on
/*"Emerging Spatial Competences: From Machine Perception to Sensorimotor Intelligence"
*/
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*IMPORTANT DATES*
- January 31, 2014: Paper submission deadline
- March 31, 2014: Notification of paper acceptance
- April 30, 2014: Camera ready paper submission
- Late Spring 2014: Expected publication date
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*AIMS AND OBJECTIVES*
Following the recent evolution of robotics and AI in different fields of application,
the increasing complexity of the *actions *that an artificial agent needs to perform,
is directly dependent on the complexity of the *sensory information * that it can
acquire and *interpret*, i.e. *perceive*.
>From this point of view, an efficient and internal representation of the sensory
information is at the base of a robot to develop a *human-like capability *of
interaction with the surrounding environment. Particularly, in the space at a
*reachable distance*, not only visual and auditory, but also tactile and proprioceptive
information rise to be relevant to gain a comprehensive spatial cognition. This
information, coming from different senses, can be in principle integrated and used to
experience an awareness of the environment both to actively interact with it, and to
calibrate the interaction itself. Besides, the early sensory and sensorimotor
mechanisms, that at a first glance may appear simple processes, are grounded on
highly structured and complex algorithms that are far from being understood and
modeled. By exploiting an early synergy between *sensing modules* and *motor control*,
the loop between action and perception comes to be not just closed at system level,
but shortened at an inner one. This would allow not only the emergence of *spatial
competences* but also their *continuous adaptation* to changes in the environment or in
the body, which could modify its interactions with the world.
The aim of this special issue is to survey a state of the art of methodologies,
concepts, algorithms and techniques that would serve as bricks on which to build and
develop artificial agents with such a spatial competence; perceptual and cognitive
understanding of space should emerge from sensorimotor exercise.
The *action-perception loop* has never been so close!
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*PAPER SUBMISSION*
We invite original contributions that provide novel solutions to address the
relevant
topics including but not limited to:
- Theoretical or practical aspects of machine sensing (for computer
vision, robot audition, artificial touch, etc.)
- Multisensory data fusion, processing, learning and integration
- Computational neural modeling
- Embodied robotics: perception, cognition, and behaviors
- Machine learning for sensorimotor control and intelligence
- Neural networks: models, theories, learning algorithms and applications
- Engineering application of sensorimotor intelligence to pattern
recognition, computer vision, speech recognition, human-robot
interactions.
As a follow-up of the IJCNN 2013 special session, we invite in particular the special
session participants to submit profoundly extended versions of their conference
submission to go through a new peer review process, together with contributions not
published in the conference proceedings.
Papers should be typeset according to the format instructions for the Robotics and
Autonomous Systems Journal, available on the Elsevier web site
(http://www.elsevier.com/journals/robotics-and-autonomous-systems/0921-8890/guide-for-authors).
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*GUEST EDITORS*
_Agostino Gibaldi_, agostino.gibaldi at unige.it
Department of Informatics, Bioengineering, Robotics and System Engineering
University of Genoa, Italy
Advanced Research Center on Electronic Systems (ARCES)
University of Bologna, Italy
_Silvio P. Sabatini_, silvio.sabatini at unige.it
Department of Informatics, Bioengineering, Robotics and System Engineering
University of Genoa, Italy
_Sylvain Argentieri_, sylvain.argentieri at upmc.fr
Institute for Intelligent Systems and Robotics (ISIR)
Université Pierre et Marie Curie, Paris, France
_Zhengping Ji_, jizhengp at gmail.com
Advanced Image Research Laboratory (AIRL)
Samsung, Pasadena, CA, U.S.A
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