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Learning to Anticipate the Movements of Intermittently Occluded Objects

  • Christian Balkenius
Publiceringsår: 2008
Språk: Engelska
Sidor: 54-60
Publikation/Tidskrift/Serie: Proceedings of the Eighth International Conference on Epigenetic Robotics
Volym: 139
Dokumenttyp: Konferensbidrag
Förlag: Lund University Cognitive Studies


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.


  • Computer Vision and Robotics (Autonomous Systems)


Epigenetic Robotics
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