Paper Info
Title
Knowledge-Based Interactive Robot: System Architecture and Dialogue Manager
Abstract
Development of robots that interact with people intelligently in the human-friendly manner is still a challenging research topic. Consider welfare and friend robots that will live with us in the long term, their interactions with human are different from those of traditional dialogue systems. They are usually multi-modal, and multi-topic. Robots should be also able to learn through the conversations in order to be capable of new things. We aim to integrate robotics and knowledge technology to achieve such robot. This paper presents its system architecture and dialogue manager. The architecture is distributed. The robot is decomposed into multiple components called primitive agents. The special agent dialogue manager acts as the brain of the system. It perceives changes in the environment and makes actions by inferencing based on the knowledge base. Framebased knowledge technique is used to represent the world of interest. It is extended to support time-based layer and frames actions priority. The current system can perform state-based and frame-based types of dialogue, and learn simple facts and rules given explicitly by human. The prototype system is developed on a humanoid robot and an example of multi-modal human-robot interaction is shown.
Year
DOI
Venue
2004
10.1007/978-3-540-28633-2_71
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
human robot interaction,knowledge base,humanoid robot,system architecture
Architecture,Computer science,Human–computer interaction,Inference engine,Artificial intelligence,Knowledge base,Systems architecture,Robot,User interface,Robotics,Distributed computing,Humanoid robot
Conference
Volume
ISSN
Citations 
3157
0302-9743
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Pattara Kiatisevi1132.93
Vuthichai Ampornaramveth2484.90
Haruki Ueno312918.02