Papers
1
Total Citations
3
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About
Wenjie Bao is a researcher in robotics and control systems, with a focus on trajectory tracking and friction compensation in industrial manipulators. His most-cited work, "End-Effector Trajectory Tracking Control of Stacking Robot Based on LuGre Model" (2025, 3 citations), addresses a critical challenge in precision automation: achieving accurate end-effector motion despite nonlinear joint friction. Bao proposes a dynamic model of a stacking robot that incorporates the LuGre friction model, enabling more realistic simulation and control. His approach aims to eliminate trajectory deviations caused by unmodeled friction, improving the reliability of robotic stacking operations in manufacturing and logistics. This contribution is particularly relevant for high-speed, repetitive tasks where precision is essential. While early in his citation record, Bao’s work signals a practical, model-driven direction in robotics control, blending theoretical friction modeling with real-world application. His research holds promise for advancing autonomous material handling systems.
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