R&D item
R&D of AI for human-robot coevolution

R&D of AI for human-robot coevolution

01 Experience Acquisition and Accumulation Ecosystems

Department of Mechanical Systems Engineering, Graduate School of Systems Design
Tokyo Metropolitan University
KUBOTA Naoyuki, Professorweb site >
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.

02 Successful Experience Manager

Advanced Intelligence & Robotics Research Center, Brain Science Institute
Tamagawa University
INAMURA Tetsunari, Professorweb site >
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.

03 Self-Efficacy Estimator

Department of Psychology
Rikkyo University
WEN Wen, Associate Professorweb site >
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.

04 Self-Efficacy Promoting Navigator

Department of Psychology
Keio University
YAMAMOTO Junichi, Professorweb site >
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.

05 Assist Planner

Advanced Telecommunications Research Institute International (ATR)
Brain Information Communication Research Laboratory Group
NODA Tomoyuki, Senior Researcherweb site >
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!”

06 Building a Foundation for Mathematical Informatics of Cognition and Behavior

The Graduate School of Information Science
Nara Institute of Science and Technology
IKEDA Kazushi, Professorweb site >
To model human-human interactions and what humans feel and think using mathematical informatics, so that they can be used for robots.