Papers
20
Total Citations
105
H-Index
6
About
Satoshi Miura is a pioneering researcher at the intersection of surgical robotics, human-robot interaction, and cognitive neuroscience, whose work has fundamentally advanced how we evaluate and design intuitive robotic surgical systems. His most significant contribution lies in developing brain activity measurement methodologies — particularly leveraging activation of the intraparietal sulcus — to quantitatively assess the "intuitive operability" and embodiment that surgeons experience when controlling master-slave surgical robots, a dimension previously impossible to measure through mechanical performance metrics alone. Across more than a decade of sustained research (2012–2023), Miura has tackled critical challenges including hand-eye coordination optimization, monitor-master arrangement design, and gaze tracking to improve surgical robot wrist mechanisms. His innovative use of neuroimaging and brain-computer interface techniques to guide engineering decisions represents a genuinely interdisciplinary breakthrough. More recently, he has extended his focus to practical hardware challenges, exploring wire-reduction drive mechanisms to reduce maintenance costs in clinical systems. With his most cited works accumulating citations in the range of 8–16, Miura's research has built a coherent and growing body of evidence that human cognitive science must drive surgical robot design, offering students and engineers a compelling framework for the future of minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
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- 6Evaluation of Hand-Eye Coordination Based on Brain Activity8 citations · 2015
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