Feiyang Wen
Papers
1
Total Citations
1
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About
Feiyang Wen is a researcher specializing in computational geometry, trajectory optimization, and autonomous systems, with a particular focus on high-precision interpolation methods for robotic motion planning. His most cited work, "A Comprehensive Derivation of Quintic Spline Interpolation and Its Applications to 3-D Collision-Free Trajectory Generation" (2024), addresses a critical gap in existing literature by providing a rigorous mathematical framework for quintic spline interpolation. Unlike conventional cubic spline approaches, Wen’s method ensures zero velocities and accelerations at both start and end points—an essential requirement for smooth, collision-free navigation in three-dimensional environments. This contribution has significant implications for autonomous vehicles, drone swarms, and industrial robotics, where trajectory continuity directly impacts safety and efficiency. Though early in its citation impact, the work has been recognized for its clarity and practical utility, bridging a notable gap between theoretical spline theory and real-world deployment. Wen’s research continues to push the boundaries of motion planning, offering elegant mathematical solutions to complex spatial constraints.
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