Integrating Graph-Based Vision Perception to Spoken Conversation in Human-Robot Interaction

In this paper we present the integration of graph-based visual perception to spoken conversation in human-robot interaction. The proposed architecture has a dialogue manager as the central component for the multimodal interaction, which directs the robot’s behavior in terms of the intentions and actions associated to the conversational situations. We tested this ideas on a mobile robot programmed to act as a visitor’s guide to our department of computer science.

• Type: Conference
• Year: 2009
• Where: IWANN
• Authors: Wendy Aguilar, Luis A. Pineda
• Keywords: Artificial Intelligence, Graph-based Visual Perception, Human-robot Interaction, IWANN 2009, Multimodal Interaction