| Project/Area Number |
19KK0261
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| Research Category |
Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 62:Applied informatics and related fields
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| Research Institution | Ochanomizu University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
川又 生吹 京都大学, 理学研究科, 准教授 (30733977)
佐藤 佑介 九州工業大学, 大学院情報工学研究院, 准教授 (60830560)
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| Project Period (FY) |
2019-10-07 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Fiscal Year 2023: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2022: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2021: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2020: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2019: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | Molecular robotics / Swarm / Collective behaviors / Reaction-Diffusion / Microfluidics / Quality-Diversity / Evolutionary algorithms / Swarm robotics / Microtubules / PEN DNA toolbox / Molecular Robotics / Collective Behaviors / Evolutionary Algorithm |
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| Outline of Research at the Start |
This project aims to find optimal conditions for the emergence of robust cooperative behaviors in a swarm of molecular robots. During a past collaboration with the International collaborators, we implemented a swarm of one million molecular robots capable of simple aggregation. We will build onto that platform to test and implement new molecular robotic systems, using simulation and evolutionary optimization on the theoretical side, and in-vitro implementation on the experimental side. Furthermore, implementation in a standard fleet of small robots to bridge the reality gap.
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| Outline of Final Research Achievements |
In this project, we focused on exploring the optimal conditions for swarming behavior in a system of molecular robots. The ability for individuals in a group to collaborate and reach a consensus is an important factor for the emergence of natural phenomenon such as aggregation or quorum sensing. In the molecular robotic systems considered in this project, the behavior of the robot is decided through communication with the group and environment rather than from external influence. Moreover, we focused on the factors necessary for robust group behaviors, both to individual failure and communication noise. We validated our results in simulation, on a swarm of small (regular) robots, and on molecular robots.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究が該当する分子ロボティクス分野は、医療や生物学、スマートマテリアルへの応用可能性を秘めており、学術的意義は大きい。特に分子ロボットの集団運動能力を向上させることは、耐故障性や冗長性の観点で性能向上に大きく寄与するため、さまざま波及効果があると期待される。
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