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About

Yukio Hashimoto’s research career has been dedicated to advancing the control and motion planning of robotic systems, with a particular focus on non-holonomic mobile robots and robot manipulators. His work bridges theoretical control theory and practical robotic applications, exploring everything from the dynamics of a horizontal bar gymnastic robot—where he demonstrated how periodic swinging can induce resonance and parametric excitation—to the path tracking of wheeled mobile robots using preview and predictive control. Hashimoto’s contributions are marked by innovative approaches: he proposed a path-generating regulator for feedback control of non-holonomic robots, a method that circumvents the difficulties posed by non-integrable constraints, and he developed preview control strategies that allow manipulators to anticipate future trajectory information for improved tracking accuracy. His most-cited papers, including “Mathematical Analysis and Motion Control for Horizontal Bar Gymnastic Robot” and “Feedback Control of Non-holonomic Mobile Robots by Path-generating Regulator,” each have garnered 8 citations, reflecting a steady impact in the robotics community. Beyond these, Hashimoto has explored environment representation for path planning and even the dynamics of a dish-spinning trick, demonstrating a playful yet rigorous approach to understanding periodic stabilization. His work remains a valuable resource for students and researchers interested in the intersection of control theory, robotics, and dynamic systems.