Yoshiyuki Kagami

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About

Yoshiyuki Kagami is a researcher in robotics and autonomous navigation, with a focus on vision-based control systems for wheeled mobile robots. His most-cited work, "Vision-based playback method of wheeled mobile robots" (2000), introduces an innovative approach to robot path planning and execution. Kagami’s key contribution lies in dividing robot trajectories into straight and curved segments, approximating the latter with Bézier curves to reduce data volume while enabling precise tracking. This method enhances the efficiency and accuracy of playback-based navigation, a foundational technique in mobile robotics. Despite a modest citation count of 3 for this paper, Kagami’s work addresses a critical challenge in real-world robot deployment: balancing data storage constraints with smooth path following. His research bridges computer vision and control theory, offering practical solutions for autonomous systems. Kagami’s contributions are notable for their technical rigor and applicability in industrial and service robotics, where reliable path replay is essential. His work continues to inform studies on trajectory optimization and visual servoing, underscoring his role in advancing wheeled robot autonomy.