Call for Proposal
Basic information of the Research Area
[R&D Process Innovation]R&D Process Innovation by AI and Robotics: Technical Foundations and Practical Applications
Research Supervisor
Ichiro TakeuchiProfessor, Graduate School of Engineering, Nagoya University / Team Leader, Center for Advanced Intelligence Project, RIKEN
Strategic Objective
Research innovation through autonomous-driven research systems
Overview
With the remarkable progress that has been made in artificial intelligence (AI) and robotics technologies, autonomous approaches for research and development (R&D) that accelerate the process of scientific research and technology development are becoming a global trend. By introducing AI and robotics, in addition to freeing researchers and engineers from simple tasks at R&D sites, it also becomes possible to take on complex subjects that go beyond cognitive and physical functions of the researchers and engineers. As researchers and engineers advance in R&D in collaboration with AI and robotics, the nature of R&D will be revolutionized, enabling previously impossible scientific discoveries and technological innovations.
In this research area, our aim is to establish an autonomously driven R&D approach to create fundamental technologies that will lead to innovation in R&D processes utilizing AI and robotics, and to develop science and engineering through practical application utilizing AI and robotics. Specifically, we will develop AI and machine learning methodologies and build robotics systems as fundamental technologies for innovation in R&D process. We will be also worked on specific R&D subjects utilizing AI and robotics in scientific fields such as life science and materials science, and engineering fields such as measurement engineering, mechanical engineering. By closely linking the development of fundamental technologies and their application of scientific and technological research to practical subjects, our aim is to create new scientific discoveries and technological innovations while building a general-purpose framework for autonomously driven R&D.
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
| Yoshitaka Ushiku | Vice President for Research, Research Administrative Division, OMRON SINIC X Corporation |
|---|---|
| Naoaki Okazaki | Professor, School of Computing, Tokyo Institute of Technology |
| Tetsuya Ogata | Professor, Faculty of Science and Engineering, Waseda University |
| Jun Sese | President, Humanome Lab., Inc. |
| Kanako Harada | Associate Professor, Graduate School of Medicine, Graduate School of Engineering, The University of Tokyo |
| Taro Hitosugi | Professor, Graduate School of Science, The University of Tokyo |
| Hideitsu Hino | Professor, The Institute of Statistical Mathematics, Research Organization of Information and Systems |
The list of Research Area Advisor will be updated later.
Schedule of Selection Process
| Deadline for application | 2024/05/28 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2024/07/13 |
| JST will contact to the interviewees no later than | 2024/07/20 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2024/07/27, 2024/07/28 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.
How to apply
Please fill in the following application forms, and hand in via e-Rad. How to use e-Rad can be checked from here.(Note) Please note that Proposals only with the following application forms will be accepted.