Early-Stage Vision of Composite Scenes for Spatial Learning and Navigation

Olivier L. Georgeon 1 James Marshall 2 Pierre-Yves Ronot 1
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 Sarah Lawrence College
Abstract : Developmental theories suggest that cognitive agents develop through an initial sensorimotor stage during which they learn sequential and spatial regularities. We implemented these views in a computer simulation. Following its intrinsic motivations, the agent autonomously learns sensorimotor contingencies and discovers permanent landmarks by which to navigate in the environment. Besides illustrating developmental theories, this model suggests new ways to implement vision and navigation in artificial systems. Specifically, we coupled a sequence learning mechanism with a visual system capable of interpreting composite visual scenes by inhibiting items that are irrelevant to the agent’s current motivational state.
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Communication dans un congrès
First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Aug 2011, Frankfurt am Main, Germany. IEEE, pp.224-229, 2011, Proceedings of the First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. 〈10.1109/DEVLRN.2011.6037348〉
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Olivier L. Georgeon, James Marshall, Pierre-Yves Ronot. Early-Stage Vision of Composite Scenes for Spatial Learning and Navigation. First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Aug 2011, Frankfurt am Main, Germany. IEEE, pp.224-229, 2011, Proceedings of the First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. 〈10.1109/DEVLRN.2011.6037348〉. 〈hal-01354453〉

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