Natural Multi-language Interaction between Firefighters and Fire Fighting Robots

Abstract

Due to rapid development of agent systems and robotics, more and more chances are available for humans to interact with agent-based robotic technology (e.g., Robotic vacuums, robotic surgery, etc.), this trend increases the importance of human-robot interaction including human-robot communication. For the robust human-robot communication, natural language processing (NLP) can be implemented, among various existing natural language processing techniques, Ontological Semantic Technology (OST), which addresses meanings in an easily comprehensible way as a human does, was selected, the OST is a system in an ontology-based structure to deal with multiple natural languages. This research specifically addresses a concept of natural language-based communication with fire fighting robots and humans, and the main domain of this study targets fire fighting situations. In order to implement ontology-based communication with different languages, Korean and English were used for this particular study. This study extends the domain of Ontological Semantic Technology, specifically for communication with robots in a fire fighting domain using Korean and English.