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Learning to Anticipate the Movements of Intermittently Occluded Objects

Författare

Redaktör

  • Christian Balkenius

Summary, in English

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.

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

Ämne

  • Computer Vision and Robotics (Autonomous Systems)

Conference name

Epigenetic Robotics

Conference date

2008-07-30

Conference place

Brighton, United Kingdom

Status

Published

Projekt

  • From Reactive to Anticipatory Cognitive Embodied Systems
  • Ikaros: An infrastructure for system level modelling of the brain

Forskningsgrupp

  • Lund University Cognitive Science (LUCS)