Grant-in-Aid for Transformative Research Areas (B) (2021-2023)

Heterogeneous Swarm Intelligence

Heterogeneous swarm intelligence: Innovative design of swarm intelligence inspired by collective behavior

Contact
JP EN

Grant-in-Aid for Transformative
Research Areas (B) (2021-2023)

Heterogeneous Swarm Intelligence

Heterogeneous swarm intelligence: Innovative design of swarm intelligence inspired by collective behavior

Contact
JP EN

Organization

Group A01
A design theory of high-average systems made possible by constructive understanding of heterogeneous swarm intelligence

Research Outline

In this study, we propose a heterogeneous swarm intelligence system in which individuals with various characteristics can find optimal internal states and roles to play in a fluctuating environment while creating order and performing high-average functions adaptively. To solve this problem, Groups A02 and A03 will explore the population dynamics of diverse cell populations by analyzing real data with high precision. On the contrary, this project group (group A01) will explore the essential factors that cause heterogeneous cell population dynamics by mathematical modeling and simulation. We will deepen the discussion based on the control perspective and find the control principles that can explain the experimental results of A02 and A03 groups. Furthermore, we will develop swarm robots using the extracted control principle and show that the principle applies to a scale larger than cells. Simultaneously, we aim to realize a real-world artificial object with high-average functions in a fluctuating environment.

A design theory of high-average systems made possible by constructive understanding of heterogeneous swarm intelligence

Group A01 members

Project Leader

Takeshi Kano (Research Institute of Electrical Communication, Tohoku University)

Takeshi Kano (Research Institute of Electrical Communication, Tohoku University)

The self-organization phenomenon, in which individual components interact with each other to create overall order, is widely observed in natural and social systems. I am attempting to clarify the core principle of the self-organization phenomenon through mathematical modeling and to construct a "rational" autonomous decentralized control method applicable to various systems based on this principle.

Educational and Professional Background Takeshi Kano, M.D., Ph.D.

2002.3
School of Medicine, Hokkaido University (obtained a MD)
2008.3
Graduate School of Frontier Biosciences, Osaka University (obtained a PhD)
2008.4 – 2009.7
Postdoctoral Fellow, Graduate School of Frontier Biosciences, Osaka University
2009.8 – 2011.3
Assistant Professor, Tohoku University (Graduate School of Medicine)
2011.4 – 2016.9
Assistant Professor, Research Institute of Electrical Communication, Tohoku University
2016.10 –
Associate Professor, Research Institute of Electrical Communication, Tohoku University

Co-Project Leader

Yuichiro Sueoka (Graduate School of Engineering, Osaka University)

Yuichiro Sueoka (Graduate School of Engineering, Osaka University)

For the concept of swarm, I am advocating the philosophy of “super-swarm”, which aims to design unseen artifacts and robots by combining the biological power and imaginary power. Currently, he is engaged in research on robots for the Moonshot Project of the Cabinet Office, working on robots for the Moon and robots for disaster response. He also aims to realize a society where everyone is involved in robotics, and will launch a crowdfunding project Robo Cafe in 2019 and co-found Minna no Kousei Juku in October 2021. He also writes about ideas for “realizing fantasies” on his personal blog.

Educational and Professional Background Yuichiro Sueoka, Ph.D.

2015.4 –
Assistant Professor Osaka University,
2019.7
President Crowdfunding Project, Robo Café
2021.10
Co-founder and Director, Minna no Kousei Juku