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Learning to Anticipate the Movements of Intermittently Occluded Objects

Johansson, Birger LU orcid and Balkenius, Christian LU orcid (2008) Epigenetic Robotics 139. p.54-60
Abstract
A model of event driven anticipatory learning is described and applied to a number of

attention situations where one or several visual

targets need to be tracked while being

intermittently occluded. The model combines

covert tracking of multiple targets with overt

control of a single attention focus. The implemented

system has been applied to both a

simple scenario with a car that is occluded in a

tunnel and a complex situation with six simulated

robots that need to anticipate the movements

of each other. The system is shown to

learn very quickly to anticipate target movements.

The performance is further increased

when the... (More)
A model of event driven anticipatory learning is described and applied to a number of

attention situations where one or several visual

targets need to be tracked while being

intermittently occluded. The model combines

covert tracking of multiple targets with overt

control of a single attention focus. The implemented

system has been applied to both a

simple scenario with a car that is occluded in a

tunnel and a complex situation with six simulated

robots that need to anticipate the movements

of each other. The system is shown to

learn very quickly to anticipate target movements.

The performance is further increased

when the simulated robots are allowed to cooperate

in the tracking task. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the Eighth International Conference on Epigenetic Robotics
editor
Balkenius, Christian
volume
139
pages
54 - 60
publisher
Lund University Cognitive Studies
conference name
Epigenetic Robotics
conference location
Brighton, United Kingdom
conference dates
2008-07-30
project
From Reactive to Anticipatory Cognitive Embodied Systems
Ikaros: An infrastructure for system level modelling of the brain
language
English
LU publication?
yes
id
eb656005-60b0-4d65-97dc-0e0623365cbf (old id 1362038)
date added to LUP
2016-04-04 11:27:28
date last changed
2019-09-06 02:18:17
@inproceedings{eb656005-60b0-4d65-97dc-0e0623365cbf,
  abstract     = {{A model of event driven anticipatory learning is described and applied to a number of<br/><br>
attention situations where one or several visual<br/><br>
targets need to be tracked while being<br/><br>
intermittently occluded. The model combines<br/><br>
covert tracking of multiple targets with overt<br/><br>
control of a single attention focus. The implemented<br/><br>
system has been applied to both a<br/><br>
simple scenario with a car that is occluded in a<br/><br>
tunnel and a complex situation with six simulated<br/><br>
robots that need to anticipate the movements<br/><br>
of each other. The system is shown to<br/><br>
learn very quickly to anticipate target movements.<br/><br>
The performance is further increased<br/><br>
when the simulated robots are allowed to cooperate<br/><br>
in the tracking task.}},
  author       = {{Johansson, Birger and Balkenius, Christian}},
  booktitle    = {{Proceedings of the Eighth International Conference on Epigenetic Robotics}},
  editor       = {{Balkenius, Christian}},
  language     = {{eng}},
  pages        = {{54--60}},
  publisher    = {{Lund University Cognitive Studies}},
  title        = {{Learning to Anticipate the Movements of Intermittently Occluded Objects}},
  volume       = {{139}},
  year         = {{2008}},
}