Yongqiao Wei

Lanzhou University of Technology, Sichuan University

Papers

Total Citations

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About

Yongqiao Wei is a robotics researcher whose work centers on the kinematics, control, and modeling of robotic manipulators and parallel robots. His major contributions include developing a surrogate model for inverse kinematics of six-degree-of-freedom manipulators using Vector-Quantized Temporal Associative Memory (VQTAM), which leverages kinematic symmetry to enhance real-time performance and robustness. He has also advanced adaptive control strategies, such as adaptive fuzzy sliding mode control for hydraulic servo systems in parallel robots, addressing challenges like nonlinearity and parameter uncertainty. Wei’s research extends to workspace analysis of novel parallel mechanisms like the 4SPRR-SPR robot, which offers high rigidity for machining applications, and to bilateral servo control systems using RBF neural network PID for teleoperation in hazardous environments. His most cited work, “Learning the Kinematics of a Manipulator Based on VQTAM” (2020), has garnered 18 citations, reflecting its impact on efficient kinematic modeling. Through these contributions, Wei has enhanced the precision and adaptability of robotic systems, particularly in industrial and extreme-environment applications.