Papers
8
Total Citations
102
H-Index
6
About
Yuichi Nakamura is a leading researcher in wearable robotics and human-robot interaction, with a focus on developing intuitive, assistive technologies that bridge the gap between humans and machines. His key contributions span haptic feedback, exoskeleton assistance, and teleoperation, where he has pioneered novel approaches to enhance communication and physical support. Nakamura’s most cited work, "A Wearable Skin-Stretching Tactile Interface" (27 citations), introduces a non-vibrational haptic device for more natural human-robot and human-human communication, addressing a critical limitation in current wearable feedback systems. He also advanced exoskeleton design with "Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot" (23 citations), proposing a method to reduce user burden by intelligently estimating movement intentions. In mobile robotics, his "Control of Human-Following Robot Based on Cooperative Positioning with an Intelligent Space" (22 citations) integrates networked sensors for seamless human tracking. More recently, Nakamura has tackled teleoperation challenges, using LSTM-based prediction to compensate for transmission latency (2023). His work on affective touch and low-power artificial muscles for rehabilitation (2016) further underscores his commitment to practical, user-centered robotics. With over 100 total citations, Nakamura’s research is shaping the future of assistive and interactive robotic systems.
Research Focus
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