Naoki KANAMORI

Tottori University, University of Electro-Communications

Papers

Total Citations

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About

Naoki Kanamori is a pioneering researcher in human-robot interaction, with a career-long focus on creating intuitive and responsive control systems that bridge the gap between human intention and machine action. His foundational work in brain-computer interfaces is exemplified by his highly cited 2004 paper on electroencephalogram (EEG)-based mobile robot control (16 citations), where he developed a novel algorithm to decode directional thinking—distinguishing "going left" from "going right"—to steer a robot using only brain signals. This early contribution helped lay the groundwork for non-invasive neural control of assistive devices. Kanamori’s impact is equally profound in the domain of wearable robotics. His 1999 study on wearable nursing robots (15 citations) introduced the concept of self-impedance matching (SIM), a design principle that quantitatively evaluates system maneuverability to enhance the operator's physical synergy with a powered suit. Further refining human-robot collaboration, his 2004 work on "operating feeling" established a sensor-based metric for quantifying the operator's subjective sense of control, providing a concrete guideline for designing more natural and responsive collaborative systems. Through these contributions, Kanamori has advanced both the theoretical understanding and practical engineering of man-machine systems, influencing the development of assistive robots that are safer, more intuitive, and more effective for human operators.