An Ontology-Based Context-Aware Vocal Guiding Robot

• Main Authors: Shu-long Chang, 張書龍
• Other Authors: Tzone I. Wang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/64030393709966035325

碩士 === 國立成功大學 === 工程科學系碩博士班 === 97 === In a public place or a conference, a common service is to guide visitors to their destinations accurately. Except the assistances offered by information officers, some places, for example government or medical units, may provide kiosks to reduce the manpower cost for guiding. Although kiosks can provide guiding information, the information is usually fixed and cannot be renewed immediately according to the change of places’ context, for example the destination is not open yet. At present, researches about guiding robots usually result in robots that can guide visitors to their destinations but cannot provide them with the immediate context-aware information on the course to their destinations. If a guiding robot is context-aware, it can assist a visitor in judging whether to go to the destination or not by using the context given by the robot and can change its own behaviors immediately accordingly. This thesis proposes a guiding robot system with environment context aware and human interacting capabilities. Environment context is represented by an ontology that can be changed easily for the robot to work in different places. And to interact with different people, the guiding robot is equipped with a speaker-independent voice recognition system that interacts with causal visitors through dialogue, tells the visitors vital information on the course to their destinations, and lets the visitors decide whether to go or not. Experimental results reveal that the recognition rate of the speaker-independent voice recognition system can reach up to 73.37% correct, and the guiding robot can provide immediate context-aware information. It also shows that the system is effective in guiding visitors to their destination.