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Communication Dans Un Congrès Année : 2001

Labeling for a learning mobile robot

Nicolas Bredèche

Résumé

This paper describes an approach to ground names of objects seen by a mobile robot in a real world environment. Names are given by a human teacher and axe stored within a lexicon, along with images where the corresponding objects are present. Here, the building of a high-level perceptual system is required to enable an efficient learning of the physical definition of objects. The paper briefly describes how an abstraction-based reformulation of real world data can highlight relevant information for a given concept.
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Dates et versions

hal-01571856 , version 1 (03-08-2017)

Identifiants

  • HAL Id : hal-01571856 , version 1

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Nicolas Bredèche, Jean-Daniel Zucker. Labeling for a learning mobile robot. AAAI Fall Symposium on "Anchoring Symbols to Sensor Data in Single and Multiple Robot Systems", Nov 2001, North Falmouth, Massachusetts, United States. ⟨hal-01571856⟩
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