Kazuhiko HIRAMOTO

Papers

Total Citations

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About

Kazuhiko Hiramoto’s research centers on the intersection of mechanical design and control systems for robot manipulators, with a particular focus on simultaneous optimization of structural parameters and gain-scheduling control. His work addresses the fundamental challenge of designing robots that are both mechanically efficient and dynamically stable. In his most cited paper (2006, 3 citations), Hiramoto introduced an LMI-based approach that jointly optimizes mechanical design—evaluated through a manipulability index derived from the Jacobian matrix—and control system design, enabling more cohesive and high-performance robot architectures. His subsequent work (2007, 2 citations) advanced this framework by proposing a global optimal design method for dynamic parameters, recognizing that a robot’s dynamic behavior is governed by base parameters (functions of mass, inertia, and damping). Though his citation counts are modest, Hiramoto’s contributions are notable for pioneering a holistic design philosophy that bridges mechanical engineering and control theory—a perspective increasingly vital for modern robotics. His research offers a rigorous foundation for students and engineers seeking to understand how integrated design can unlock superior robot performance.