Yulei Yang

Papers

Total Citations

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About

Yulei Yang’s research centers on robotics, with a particular focus on motion control, trajectory tracking, and the mitigation of uncertainties in multi-joint robotic systems. His most-cited work, “Research on Gravity Compensation in Motion Control of Multi-joint Robot” (2020), addresses a critical challenge in robotics: the error inherent in trajectory tracking control caused by strong coupling and unpredictable system factors. In this paper, Yang introduces a novel gravity compensation method designed to enhance precision and stability, offering a practical solution to a persistent problem in robotic manipulation. While his citation count currently stands at three, the foundational nature of this work signals its potential for broader influence in the field. Yang’s contributions are especially valuable for researchers developing more reliable and autonomous robots, as his approach directly tackles the real-world complexities of dynamic control. His work exemplifies the kind of incremental but essential innovation that drives progress in robotics engineering, making him a promising voice in the ongoing effort to refine robotic motion and adaptability.