Xuegang Huang

China Aerodynamics Research and Development Center

Papers

Total Citations

H-Index

About

Xuegang Huang is a researcher specializing in robotics and intelligent control systems, with a focus on path planning, trajectory tracking, and adaptive control for manipulators and mobile robots. His most cited work, "Improved ACO-based path planning with rollback and death strategies" (2018, 29 citations), introduces a novel ant colony optimization approach that enhances navigation in complex environments by allowing ants to backtrack from dead ends, significantly improving solution robustness. Huang has also made notable contributions to 6-DOF robotic manipulator control, proposing a PD-based trajectory tracking method using high-precision laser trackers for dynamic pose measurement, and developing a fractional-order adaptive nonsingular terminal sliding mode controller that ensures finite-time convergence and robustness against uncertainties. His work bridges theoretical control design with practical implementation, addressing real-world challenges in automation and intelligent detection. With a growing citation record, Huang’s research is shaping advancements in autonomous navigation and precision manipulation, offering valuable insights for students and researchers in robotics, control engineering, and artificial intelligence.