Papers

5

Total Citations

270

H-Index

5

About

Takeshi Sakurada is a pioneering researcher at the intersection of regenerative medicine and assistive robotics, whose work has garnered over 270 citations. His research spans two transformative domains: autonomous robotic systems for biomedical discovery and brain-machine interface (BMI) technologies for motor rehabilitation. In regenerative medicine, Sakurada developed a groundbreaking robotic AI system employing batch Bayesian optimization to autonomously search for optimal cell culture conditions—a process that traditionally requires years of expert experimentation (96 citations). This innovation promises to dramatically accelerate the development of induced differentiation protocols. Simultaneously, Sakurada has made significant contributions to assistive robotics, creating the BMI-based Occupational Therapy Assist Suit (BOTAS), which enables asynchronous control of exoskeletons through EEG and EMG signals. His 2017 study on a hybrid BMI exoskeleton for paresis demonstrated real-time control of arm movements in paralyzed individuals (94 citations), while his earlier work on SSVEP-based control established foundational methods for intuitive human-robot interaction. Sakurada’s dual focus on automating biological discovery and restoring motor function exemplifies how robotics and AI can address grand challenges in both medicine and human augmentation.

Research Focus

Key Achievements

5
H-Index
5
Papers
270
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Robotic search for optimal cell culture in regenerative medicine
96 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: National Rehabilitation Center for Persons with Disabilities

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago