Anchoring interaction through symbolic knowledge

Abstract : This paper presents how extraction, representation and use of symbolic knowledge from real-world perception and human-robot verbal and non-verbal interaction can actually enable a grounded and shared model of the world that is suitable for later high-level tasks like dialogue understanding, symbolic task planning or reactive supervision. We show how the anchoring process itself fundamentally relies on both the situated and embodied nature of human-robot interactions. We present an implementation, including a specialized symbolic knowledge representation system based on Description Logics, and experiments on several robotic platforms that demonstrate these cognitive capabilities.
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Communication dans un congrès
Human-Robot Interaction Pioneers workshop (HRI 2011), Mar 2011, Lausanne, Switzerland. 3p., 2011
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Séverin Lemaignan, Akin Sisbot, Rachid Alami. Anchoring interaction through symbolic knowledge. Human-Robot Interaction Pioneers workshop (HRI 2011), Mar 2011, Lausanne, Switzerland. 3p., 2011. 〈hal-00667039〉

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