Basic information of the Research Area

[Embodied AI Systems]Fundamentals and Core Technologies for Embodied AI

Research Supervisor

Tetsuya OgataProfessor, Faculty of Science and Engineering, Waseda University / Director, Future Robotics Organization, Waseda University

Strategic Objective

Research and Development in intelligent systems that flexibly responds to real-world environments

Overview

This research area aims to establish foundational theories and core technologies for constructing advanced intelligent systems that can flexibly and safely respond to diverse and unpredictable situational changes in real environments and physical spaces.
In recent years, AI generation technology based on large-scale deep learning has brought rapid changes to human intellectual activities, mainly in cyberspace. However, its social implementation in real environments and the physical world has not progressed sufficiently.
In this research area, we will promote research and development that contributes to the construction of intelligent systems capable of responding to real environments and physical spaces through the fusion and collaboration of academic fields such as intelligence, machinery, mathematics, control, computation, communication, and neuroscience. This includes endowing AI with physicality through the integration of AI technology with robotics and IoT technology.
Specifically, we will engage in innovative research and development through cross-disciplinary and international collaboration and co-creation on challenges such as development of AI models that can flexibly adapt to real environments, integration of intelligence with physical and driving function systems, and establishment of system infrastructures to support AI. This will contribute to solving social issues and creating innovations in future areas such as manufacturing, distribution, and mobility.
This research area participates in the Ministry of Education, Culture, Sports, Science and Technology (MEXT)’s Advanced Integrated Intelligence Platform Project on Artificial Intelligence/Big Data/IoT/Cybersecurity (AIP Project).

Research Area Advisors

Click here to see the List of Research Area Advisors
Koichi Osuka Professor, Faculty of Robotics and Design, Osaka Institute of Technology
Hiroyuki Okada Professor, Information Design, Tokyo Information Design Professional University
Chihiro Ono Exective Director, Data Intelligence Division, KDDI Research, Inc.
Asako Kanezaki Associate Professor, School of Computing, Institute of Science Tokyo
Keiji Kimura Professor, Faculty of Science and Engineering, Waseda University
Hideaki Shimazaki Associate Professor, Graduate School of Informatics, Kyoto University
Kazuhiro Nakadai Professor, Dept. of Systems and Control Engineering, Institute of Science Tokyo
Kouta Minamizawa Professor, Graduate School of Media Design, Keio University

Schedule of Selection Process

Deadline for application 2025/06/03 at 12:00 noon, Japan time
Document-based review Late June – Middle of July
JST will contact to the interviewees no later than Early July - Late July
Interview-based review(ONLINE)
※Interview date and time will be assigned by JST.
Middle of July – Early August

Research Supervisor's Policy

Research Supervisor's Policy of this Research Area can be downloaded from below.