Hiroaki Ozaki
Papers
3
Total Citations
15
H-Index
3
About
Hiroaki Ozaki is a pioneering researcher in robotics, with a career focused on advancing robot motion planning and control. His key research areas include trajectory tracking, collision-free path generation, and the application of B-spline curves to robotic systems. Ozaki’s major contributions are evident in his work on learning control for industrial robot arms, where he developed a novel algorithm combining Global Learning (GL) and Local Learning (LL) to significantly improve trajectory tracking accuracy. This method, detailed in his most-cited paper (8 citations), demonstrates the effectiveness of B-spline-based learning control through both simulation and experiment. Additionally, Ozaki introduced an artificial transformation of obstacle spaces for mobile robots, enabling smooth collision-free path generation, and optimized B-spline control points for manipulator trajectories using nonlinear optimization. His work has laid foundational techniques for autonomous navigation and precision control, with cumulative citations reflecting its influence in the field. Ozaki’s achievements underscore a lasting impact on robotics, particularly in enhancing the safety and efficiency of automated systems.
Research Focus
Key Achievements
Top Papers
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