Yusuke Koide

Papers

Total Citations

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About

Yusuke Koide is a robotics researcher whose work centers on adaptive control systems for humanoid robots, with a particular focus on compliance motion control and external force estimation. His most-cited paper, "Adaptive modeling and compliance control for RC servo motor" (2017), introduces a novel approach to enabling humanoid robot joints to respond safely to external forces. Koide’s key contribution lies in using motor drive current measurements—easily attached auxiliary sensors—to estimate external forces, bypassing the need for more complex or expensive sensing hardware. This method enhances robot safety and adaptability in human-robot interaction environments. While his citation count remains modest at 2 for this work, the research addresses a fundamental challenge in compliant robotics: achieving accurate force sensing without compromising simplicity or cost. Koide’s approach is particularly valuable for educational and hobbyist robotics platforms, where RC servo motors are common. His work exemplifies practical innovation in control systems, bridging the gap between theoretical modeling and real-world implementation. For students and researchers exploring low-cost force sensing or humanoid robot safety, Koide’s paper offers a clear, implementable strategy that continues to inform ongoing developments in adaptive robotic control.