RESEARCH TEAM

Experience Acquisition and Accumulation Ecosystems will monitor human movement, daily life, and social behavior to ascertain their conditions. Moreover, they will store and share the information gained to provide assistance tailored to each human, anytime, anywhere.

Successful Experience Manager will estimate and model human memories of their own success experiences to understand when they feel that they could do something by themselves. It will reproduce past successful experiences and accumulate further successful experiences as necessary.

Self-Efficacy Estimator is aimed to model how humans judge if they can or can not do something based on their experiences and memories, and to estimate the self-efficacy objectively by verifying the models from their states and behaviors.

Self-Efficacy Promoting Navigator will help humans feel, “I may be able to do this” or “I will try that, too” by automatically and efficiently setting goals or difficulty levels according to each human.

What parts of the human body should be assisted? And how should they be assisted? Assist Planner will generate appropriate behaviors of a collective of AI robots to realize human feeling, “I want to do this!”

To model human-human interactions and what humans feel and think using mathematical informatics, so that they can be used for robots.