Towards reaction-network-based reservoir computers as controllers for molecular robots
| Project/Area Number |
20K12061
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 62010:Life, health and medical informatics-related
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| Research Institution | Ochanomizu University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
GENOT Anthony 東京大学, 生産技術研究所, 国際研究員 (00761975)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | Molecular Robotics / Reservoir Computing / Thermosensing / Quality-Diversity / PEN DNA Toolbox / Evolutionary Algorithms / Thermal input / Surrogate models / PEN DNA toolbox / Evolutionary Algorithm / Thermal Inputs |
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| Outline of Research at the Start |
The goal of the project is to implement reservoir computers using molecular reaction networks and thermal inputs. Implementation will focus on three target, all of which are essential components of robotic controllers: (1) delay, (2) moving average and (3) signal recognition. The project will focus on the PEN DNA toolbox, both in simulation and through in-vitro experimentation.
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| Outline of Final Research Achievements |
In this project, we implemented molecular computing systems both in silico and in vitro, following the Reservoir Computing framework. The simulation aspect allowed us to explore the theoretical capabilities of the molecular systems while the experimental aspect provided a confirmation that our results were realistic. We found reasonable design constraints on those systems and showed that even simpler ones could still perform well for typical applications.
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| Academic Significance and Societal Importance of the Research Achievements |
分子ロボティクスは、医療や生物学、スマートマテリアルへの応用が期待されている研究分野である。分子システムの計算能力を向上させることで、その応用範囲を広げることができる。
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Report
(4 results)
Research Products
(15 results)
