Kou Yamada
Papers
6
Total Citations
18
H-Index
2
About
Kou Yamada is a robotics researcher whose work spans mobile platform dynamics, control theory, and human-robot interaction. His most cited paper (2024, 6 citations) addresses the dynamical modeling of four Mecanum wheel mobile robots on unstructured terrain, providing critical kinematic and dynamic formulations for omnidirectional platforms navigating inclined surfaces—a foundational contribution for field robotics. Yamada also made early contributions to low-powered manipulation, demonstrating how suspension mechanisms enable direct-drive robot arms to handle heavy objects with hybrid position/force control (2000, 5 citations). His theoretical work connects model feedback control systems to the parametrization of all stabilizing controllers for MIMO plants (2007, 2 citations), offering a unified framework for sensitivity shaping. More recently, he has explored hand gesture classification via sparse coding for dimensionality reduction (2023, 2 citations) and conducted psychological evaluations of fusion motions emulating human arm extension with shoulder movements (2005, 2 citations). His latest research (2025) investigates color-based emotional expression models for robots, including cross-cultural validation with Vietnamese participants. With contributions ranging from control theory to human-robot interaction, Yamada’s work demonstrates versatility across both theoretical foundations and practical robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2Application of suspension mechanisms for low powered robot tasks5 citations · 2000
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