Towards reaction-network-based reservoir computers as controllers for molecular robots

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K12061
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 62010:Life, health and medical informatics-related
• Research Institution: Ochanomizu University
• Principal Investigator: AUBERT-KATO NATHANAEL お茶の水女子大学, 基幹研究院, 講師 (10749659)
• Co-Investigator(Kenkyū-buntansha): GENOT Anthony 東京大学, 生産技術研究所, 国際研究員 (00761975)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: Molecular Robotics / Reservoir Computing / Thermosensing / Quality-Diversity / PEN DNA Toolbox / Evolutionary Algorithms / Thermal input

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.

Free Research Field

分子ロボティクス

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。