Create the Future by Intelligent Systems that Support Human Lives
Main research themes of Nagao Laboratory are intelligent systems that support human lives by technologies of natural language processing and robotics, digital content technologies such as information retrieval and document summarization by using metadata of contents, and real world information technologies including support systems of real world human activities such as face-to-face meetings.
Virtual/Augmented Reality Project
The Virtual/Augmented Reality Project conducts research using VR (Virtual Reality) technology and AR (Augmented Reality) technology. Specifically, we are studying a technology called building-scale VR that transforms the entire indoor space into a virtual space and expands the daily environment to enable various activities. For example, you can train in an emergency by creating various disaster situations in a real building. We are also researching applications to education such as distance lectures. Furthermore, we are also conducting research to automatically generate the sounds and tactile sensations of an object according to the situation, using information such as the texture of the object in the real world.
Personal Intelligent Vehicle Project
This project aims to contribute a barrier-free city environment by providing a platform of tightly integrating physical environments with information spaces based on personal intelligent vehicles, autonomous mobile robots and a digital network connecting them. The vehicles are called AT (Attentive Townvehicles) and are capable of automatic transportation toward the specified destinations, automatic obstacle collision avoidance and cooperation among vehicles.
Discussion Mining Project
This project aims at the automatic creation of semantically-structured discussion contents of face-to-face meetings that include audio-visual data, presentation materials and text minutes. We have been studying knowledge discovery from the accumulated discussion contents.
Content Annotation Project
This project has been researching content annotation that covers creation and application of metadata of Web contents including multimedia data. The applications of metadata such as content retrieval, summarization and reuse have also been investigated.