Daisuke Ryuno
Papers
1
Total Citations
1
H-Index
1
About
Daisuke Ryuno is a leading researcher in self-driving laboratories (SDLs) and the automation of materials science workflows. His primary contributions center on developing orchestration software that seamlessly integrates artificial intelligence with robotic hardware, enabling fully autonomous experimentation. Ryuno is best known for creating NIMO (formerly NIMS-OS), an orchestration system that bridges multiple AI algorithms with diverse robotic platforms. His landmark 2025 paper, "Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO," demonstrates how existing liquid handlers can be retrofitted for autonomous operation—a critical step toward making SDLs accessible to more laboratories. This work has already garnered attention for its practical, scalable approach to lab automation. Ryuno’s research addresses a key bottleneck in materials discovery: the difficulty of connecting AI decision-making with physical experimentation. By providing an open-source framework that can control different hardware without custom programming, his work accelerates the development of closed-loop discovery systems. His contributions are shaping the future of autonomous materials research, making him a key figure in the growing field of self-driving laboratories.
Research Focus
Key Achievements
Top Papers
- 1