Changliang Gong

Papers

Total Citations

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About

Changliang Gong’s research centers on industrial robotics, with a specific focus on welding robot optimization, trajectory planning, and structural dynamics. His most cited work, “Time-optimal trajectory planning for a 6R jointed welding robot using adaptive genetic algorithms” (2010, 9 citations), introduces a novel approach to minimizing working time while ensuring smooth motion. By encoding time intervals between welding points in Cartesian space and applying adaptive genetic algorithms, Gong achieved significant efficiency gains in robotic welding operations—a critical contribution to manufacturing automation. In a complementary study, “The finite element modal analysis of the base of welding robot” (2010, 5 citations), he employed ANSYS to analyze vibration and shock-induced dynamic stresses on robot bases, directly addressing precision loss in welding tasks. This work highlights his ability to bridge theoretical modeling with practical engineering challenges. Though his citation counts reflect a focused, early-career impact, Gong’s contributions are notable for their direct applicability to industrial robotics, particularly in enhancing accuracy and speed. His research remains relevant for engineers and students working on robot path optimization and structural integrity, offering foundational insights into adaptive algorithms and finite element analysis for robotic systems.