Masaaki Sato

RIKEN Center for Brain Science, Japan Science and Technology Agency

Papers

Total Citations

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About

Masaaki Sato is a pioneering researcher at the intersection of robotics, brain-machine interfaces (BMI), and reinforcement learning. His most impactful work centers on developing assistive robotic systems for rehabilitation, particularly through the integration of electroencephalography (EEG) with exoskeleton robots. In his highly cited 2012 paper (64 citations), Sato introduced a brain-controlled exoskeleton robot system designed specifically for BMI rehabilitation, demonstrating how neural signals can directly control robotic limbs to aid motor recovery. This work represents a significant contribution to non-invasive neural control of assistive devices. Earlier in his career, Sato tackled complex control problems in robotics, applying reinforcement learning based on an on-line EM algorithm to the challenging task of balancing an acrobot—a two-link robot with only one actuator. This foundational work, though less cited (3 citations), showcases his technical depth in nonlinear dynamics and continuous state-action spaces. Sato’s research bridges computational neuroscience, machine learning, and rehabilitation engineering, offering practical pathways for restoring movement in paralyzed patients. His contributions continue to influence the development of intelligent, adaptive robotic systems for clinical and assistive applications.