Anchoring interaction through symbolic knowledge

Séverin Lemaignan (1, 2) , Emrah Akin Sisbot (1) , Rachid Alami (1)

1 LAAS - Laboratoire d'analyse et d'architecture des systèmes
2 Intelligent Autonomous Systems

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.

Mots clés: Dialogue processing; natural language grounding; human-robot interaction

Domaines: Robotique [cs.RO]

Séverin Lemaignan, Emrah Akin Sisbot, Rachid Alami. Anchoring interaction through symbolic knowledge. Human-Robot Interaction Pioneers workshop (HRI 2011), Mar 2011, Lausanne, Switzerland. 3p. ⟨hal-00667039⟩