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      <dc:title>From perception to action and vice versa: a new architecture showing how perception and action can modulate each other simultaneously</dc:title>
      <dc:creator>Palomino López, Antonio Jesús</dc:creator>
      <dc:creator>García-Olaya, Ángel</dc:creator>
      <dc:creator>Fernández, Fernando</dc:creator>
      <dc:creator>Bandera-Rubio, Juan Pedro</dc:creator>
      <dc:description>Presentado en: 6th European Conference on Mobile Robots (ECMR) Sep 25-27, 2013 Barcelona, Spain</dc:description>
      <dc:description>Artificial vision systems can not process all the&#xd;
information that they receive from the world in real time&#xd;
because it is highly expensive and inefficient in terms of&#xd;
computational cost. However, inspired by biological perception&#xd;
systems, it is possible to develop an artificial attention model&#xd;
able to select only the relevant part of the scene, as human&#xd;
vision does. From the Automated Planning point of view, a&#xd;
relevant area can be seen as an area where the objects involved&#xd;
in the execution of a plan are located. Thus, the planning system&#xd;
should guide the attention model to track relevant objects. But,&#xd;
at the same time, the perceived objects may constrain or provide&#xd;
new information that could suggest the modification of a current&#xd;
plan. Therefore, a plan that is being executed should be adapted&#xd;
or recomputed taking into account actual information perceived&#xd;
from the world. In this work, we introduce an architecture that&#xd;
creates a symbiosis between the planning and the attention&#xd;
modules of a robotic system, linking visual features with high&#xd;
level behaviours. The architecture is based on the interaction of&#xd;
an oversubscription planner, that produces plans constrained&#xd;
by the information perceived from the vision system, and an&#xd;
object-based attention system, able to focus on the relevant&#xd;
objects of the plan being executed.</dc:description>
      <dc:date>2013-10-09T06:59:15Z</dc:date>
      <dc:date>2013-10-09T06:59:15Z</dc:date>
      <dc:date>2013-10-09</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>http://hdl.handle.net/10630/6033</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
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