Yasuhiro Kato
Papers
2
Total Citations
13
H-Index
2
About
Yasuhiro Kato is a pioneering researcher in the intersection of robotic haptics and rehabilitation engineering, whose work advances how robots perceive and interact with uncertain environments while enhancing human motor learning. His most influential contribution, the self-tuning impedance-based interaction planner (2022, 9 citations), introduces a groundbreaking algorithm that enables robots to autonomously adjust their impedance in real-time using only haptic feedback, allowing for adaptive trajectory planning under unpredictable conditions—a critical step toward more intuitive and safe human-robot collaboration. In parallel, Kato’s 2024 study (4 citations) explores how different feedback modalities—haptic interfaces and virtual reality—alter EMG patterns and kinematics during upper-limb reaching tasks, revealing that feedback type fundamentally shapes movement strategy. This work has direct implications for designing more effective robot-assisted rehabilitation protocols. By bridging adaptive control theory with neurorehabilitation, Kato’s research not only advances autonomous robotic exploration but also provides evidence-based guidelines for tailoring feedback in therapeutic settings, making him a key figure in the future of assistive robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2