Kenji Matsukuma
Systems Biology Institute, Fujitsu (Japan), Yaskawa Electric (Japan)
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
Top Papers
- 1Robotic search for optimal cell culture in regenerative medicine96 citations · 2022
- 2A Variable Scheduling Maintenance Culture Platform for Mammalian Cells28 citations · 2020
- 3
- 4An autonomous mobile robot for carrying food trays to the aged and disabled10 citations · 2000
- 5Robotic Search for Optimal Cell Culture in Regenerative Medicine7 citations · 2020
- 6