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About

Emi Tamaki is a robotics and human-computer interaction researcher whose work spans high-speed robotic imitation, wearable sensing, and assistive technologies. Tamaki's early work focused on dexterous robotic systems, most notably the "Copycat Hand" — a robot hand capable of imitating human hand postures at high speed and with high accuracy using a novel self-organizing image clustering method. This pioneering work, which has accumulated 23 citations, demonstrated the feasibility of real-time human-to-robot motion transfer, laying groundwork for intuitive robotic control interfaces. More recently, Tamaki has made significant contributions to gait analysis through muscle deformation sensing, developing wearable systems capable of detecting heel-contact and gait phases without relying solely on traditional inertial or electromyography sensors. These studies, cited 12 and 8 times respectively, have meaningful implications for synchronous robotic walking assistance and rehabilitation monitoring. Tamaki has also explored novel human-robot interaction paradigms, proposing the "Mercurial Robot" as a work assistant designed to preserve users' physical and mental engagement while automating daily tasks. Together, Tamaki's body of work reflects a consistent commitment to bridging human biomechanics with responsive, intelligent robotic systems.