Kenichi Tomeoka
Papers
1
Total Citations
2
H-Index
1
About
Kenichi Tomeoka’s research lies at the intersection of assistive robotics and brain–computer interfaces, with a focus on enabling physically impaired individuals to control complex robotic systems. His most-cited work, “A comparison of visual and auditory EEG interfaces for robot multi-stage task control” (2024), tackles a critical challenge in shared autonomy: how users can efficiently direct a robot capable of performing many tasks. By systematically comparing visual and auditory EEG-based interfaces, Tomeoka demonstrated that auditory feedback can reduce cognitive load while maintaining task accuracy, a finding with direct implications for real-world assistive devices. Though his citation count is still growing—reflecting the recency of his contributions—his work has already been recognized for its practical approach to human–robot interaction. Tomeoka’s research is particularly notable for addressing the “choice bottleneck” in multi-task robots, where users must navigate numerous options. His findings pave the way for more intuitive, accessible control systems, making him a promising voice in the field of assistive robotics and neural interfaces.
Research Focus
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Top Papers
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