Structuring information on people and environment for supporting robotic services

This paper proposes a new server platform for supporting various robotic services that interact with people. Every robot serving people in public spaces need to know: where the person is, what the person is doing, and what is happening at the place. The proposed platform is the first integrated system that can robustly measure, recognize and provide information on human activities and spatial nature in the environment, in a standard way. In the shopping mall experiment, the system is able to track and capture activities of more than 20 people simultaneously in real time. We also describe the result of robotic service experiment utilizing the power of this platform.