Keita Shimamoto
Papers
8
Total Citations
33
H-Index
3
About
Keita Shimamoto is a robotics researcher whose work centers on advancing force-sensing and control strategies for human-robot interaction, with a particular emphasis on tendon-driven mechanisms and bilateral control systems. His major contributions lie in developing force sensorless hybrid position/force control methods that enable precise, decoupled rubbing motions—a critical capability for tasks requiring delicate contact, such as surgical support or hazardous environment exploration. His most cited paper (2023, 11 citations) introduces an innovative approach using equivalent mass matrices switching to eliminate interference between control axes, enhancing robotic autonomy without physical force sensors. Shimamoto has also pioneered variable autonomy frameworks for human-robot collaboration, leveraging Gaussian Process regression to adapt control in agricultural applications (2020, 6 citations). His foundational work on tendon-driven spherical joint mechanisms (2013–2014) addresses challenges of inertia and force transmission in lightweight, multi-degree-of-freedom robots, while his exploration of time delay compensation and gravity cancellation further refines bilateral control for real-world deployment. With a cumulative impact spanning sensorless estimation, collaborative autonomy, and mechanism design, Shimamoto’s research offers practical pathways toward safer, more intuitive robots for human support.
Research Focus
Key Achievements
Top Papers
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- 2Human-Robot Collaboration with Variable Autonomy via Gaussian Process6 citations · 2020
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- 6Bilateral control using compression type mechanical gravity canceller2 citations · 2014
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