Papers
6
Total Citations
51
H-Index
4
About
Gil Jin Yang is a robotics researcher specializing in trajectory planning and motion control for wheeled mobile robots, with a particular focus on smooth path generation under physical constraints. His core contributions lie in developing convolution-based methods for generating velocity profiles that respect acceleration and velocity limits, enabling robots to navigate complex, high-curvature paths efficiently. Yang's most cited work, "Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints" (2013, 24 citations), introduces a novel approach using Bezier curves to create S-curve paths and a convolution operator to generate center velocity trajectories, ensuring smooth motion while adhering to physical limits. He further advanced this framework in subsequent papers, addressing time-optimal planning for high-curvature Bezier curves and implementing real-time control systems on platforms like Xenomai. Yang's research bridges theoretical path planning with practical real-time implementation, as demonstrated in his work on joint-space trajectory generation and RTOS-based control. His cumulative work, with over 50 citations, provides foundational techniques for mobile robot navigation, making his methods valuable for researchers and engineers developing autonomous systems that require precise, constraint-aware motion planning.
Research Focus
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