Papers

6

Total Citations

160

H-Index

5

About

Kenji Matsukuma is a pioneering roboticist whose work bridges autonomous systems and regenerative medicine, with a career spanning from assistive robotics to cutting-edge cell therapy automation. His most impactful contribution is the development of a robotic AI system that uses batch Bayesian optimization to autonomously search for optimal cell culture conditions in regenerative medicine—a process traditionally reliant on years of expert trial and error. This work, published in 2022, has already garnered 96 citations, highlighting its transformative potential. Matsukuma also designed a variable scheduling maintenance culture platform for mammalian cells (28 citations), addressing the reproducibility bottleneck in cell biology by reducing dependence on tacit human skills. His 2023 study on a robotic cell-processing facility (R-CPF) for clinical retinal cell therapy (14 citations) demonstrates the practical application of humanoid robots in producing high-quality cells for treatment. Earlier in his career, Matsukuma developed an autonomous mobile robot for assisting the aged and disabled (2000) and contributed to multi-robot indoor navigation using iGPS (2003), showcasing his long-standing commitment to human-friendly, safe automation. Through this body of work, Matsukuma is redefining how complex biological processes are automated, making cell therapy more scalable, reproducible, and accessible.

Research Focus

Key Achievements

5
H-Index
6
Papers
160
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Robotic search for optimal cell culture in regenerative medicine
96 citations · 2022
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Systems Biology Institute, Fujitsu (Japan), Yaskawa Electric (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago