Papers
9
Total Citations
84
H-Index
6
About
Eiju Watanabe is a pioneering researcher at the intersection of robotic neurosurgery and brain-computer interfaces for assistive technology. His work addresses two critical challenges: enabling safe, precise surgical robotics for deep brain procedures and understanding human brain activity to develop intelligent driving assistance systems. In neurosurgery, Watanabe has developed master-slave robotic systems with autonomous collision avoidance capabilities for operating in the deep, narrow spaces of the brain. His 2017 paper on autonomous collision avoidance for robotic neurosurgery (20 citations) introduces virtual fixture feedback methods that prevent unintended contact between surgical instruments and delicate brain tissue. Simultaneously, Watanabe has conducted foundational studies on brain activity during car driving, using cognitive task analysis to map spatial perception and decision-making neural patterns. His series of papers (2010-2014, with 12+ citations each) lay groundwork for assistive systems that could interpret driver intent from brain signals, potentially enabling semi-autonomous vehicles and wheelchairs for elderly users. By bridging robotic control theory with cognitive neuroscience, Watanabe’s work advances both surgical precision and assistive mobility technologies.
Research Focus
Key Achievements
Top Papers
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- 3Basic Study of Analysis of Human Brain Activities during Car Driving12 citations · 2011
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