Naohiro Motozawa
RIKEN Center for Biosystems Dynamics Research, Kyoto University
Papers
3
Total Citations
131
H-Index
3
About
Naohiro Motozawa is a pioneering researcher at the intersection of robotics, artificial intelligence, and regenerative medicine. His work focuses on automating and optimizing the highly complex, experience-dependent processes of cell culture and induced differentiation. Motozawa’s major contribution is the development of a robotic AI system that employs a batch Bayesian optimization algorithm to autonomously search for and establish optimal cell culture conditions—a task that traditionally requires years of expert trial and error. His most impactful paper on this subject (2022) has garnered 96 citations, reflecting its significance in addressing a critical bottleneck in regenerative medicine. Additionally, his work on a variable scheduling maintenance culture platform for mammalian cells (28 citations) tackles the challenge of scaling high-quality cell production by reducing reliance on tacit expert knowledge. By replacing manual, skill-dependent protocols with autonomous, reproducible robotic systems, Motozawa is laying the groundwork for scalable, standardized cell manufacturing. His achievements represent a transformative step toward democratizing advanced cell therapies and accelerating clinical translation.
Research Focus
Key Achievements
Top Papers
- 1Robotic search for optimal cell culture in regenerative medicine96 citations · 2022
- 2A Variable Scheduling Maintenance Culture Platform for Mammalian Cells28 citations · 2020
- 3Robotic Search for Optimal Cell Culture in Regenerative Medicine7 citations · 2020