Tamon Miyake
Papers
17
Total Citations
93
H-Index
6
About
Tamon Miyake is a robotics researcher focused on human-robot interaction, rehabilitation robotics, and wearable assistive technologies. His work centers on developing intelligent robotic systems that can perceive human motion and provide adaptive assistance, particularly for elderly care and physical rehabilitation. Miyake’s major contributions include skeleton recognition-based motion generation for humanoid robots in home rehabilitation, enabling safe range-of-motion training. He has also pioneered gait phase detection methods using muscle deformation sensors, achieving accurate heel-contact detection without complex machine learning—a breakthrough for real-time robotic gait assistance. His research on using large language models (LLMs) to adjust humanoid robot parameters for physical care tasks represents a novel intersection of AI and robotics. With over 75 citations across his most-cited works, Miyake’s impact is evident in his development of the T2Snaker robotic table tennis coach and the Piton wearable telexistence robot, both addressing remote interaction challenges highlighted by the COVID-19 pandemic. His work on wire-driven robots assisting hip and knee flexion, along with predictive algorithms for toe clearance during walking, demonstrates a sustained commitment to improving mobility and quality of life through robotics.
Research Focus
Key Achievements
Top Papers
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- 7T2Snaker: a Robotic Coach for Table Tennis5 citations · 2022
- 8One-DOF Wire-Driven Robot Assisting Both Hip and Knee Flexion Motion5 citations · 2019
- 9Prediction Algorithm of Parameters of Toe Clearance in the Swing Phase5 citations · 2019
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