[Comp-neuro] CFP: From sensing machine to sensorimotor control
agostino.gibaldi at unige.it
Thu Feb 14 18:36:32 CET 2013
Since the deadline is approaching quickly (22^nd of February) we remind
you that the PSPC Lab (www.pspc.unige.it <http://www.pspc.unige.it>) is
organizing the Special Session *"From sensing machine to sensorimotor
control"*, within the International Joint Conference on Neural Networks
(www.ijcnn2013.org <http://www.ijcnn2013.org>), to be held in Dallas,
Texas, August 4-9, 2013.
The session is intended to be a follow-up of the EC-FP7 project EYESHOTS
The Special Session (see below for a more detailed description) aims to
investigate how the mutual influence between the perception of the
environment and the interaction with it can be extended to support
co-evolution mechanisms of perceptual and motor processes. We would be
glad to receive a contribution from you in the form of a short paper (8
pages). All the received contributions will be refereed by a panel of
experts according to the policies of the IJCNN conference.
We apologies if you receive multiple copies of this call.
*From sensing machine to sensorimotor control*
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 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 directly *integrating
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.
The aim of this special session is to challenge the development of
methodologies, concepts, algorithms and techniques that would serve as
bricks on which to build and develop a *sensing machine*, i.e. an
artificial agent capable of human-like behaviours. We invite original
contributions that provide novel solutions addressing theoretical or
practical aspects of computer vision, multidimensional signal
processing,neural computation and modeling, machine learning, neural
networks, and computational intelligence to be applied to sensory
representation, sensorimotor interaction, embodied learning. The
action-perception loop has never been so close!
Agostino Gibaldi, PhD agostino.gibaldi at unige.it
PostDoc at the PSPC Research Group (http://pspc.unige.it/)
University of Genova, Via Opera Pia, 11°, 16145 Genova (IT)
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