日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:1801.02270

Perceptual Context in Cognitive Hierarchies

Perceptual Context in Cognitive Hierarchies

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著者: Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher

分類: cs.AI, cs.RO

原文アブストラクト

Cognition does not only depend on bottom-up sensor feature abstraction, but also relies on contextual information being passed top-down. Context is higher level information that helps to predict belief states at lower levels. The main contribution of this paper is to provide a formalisation of perceptual context and its integration into a new process model for cognitive hierarchies. Several simple instantiations of a cognitive hierarchy are used to illustrate the role of context. Notably, we demonstrate the use context in a novel approach to visually track the pose of rigid objects with just a 2D camera.