Call for Proposal
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
Schedule of Selection Process
| Deadline for application | 2025/06/03 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2025/7/17 |
| JST will contact to the interviewees no later than | 2025/7/24 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2025/8/1 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.