Yejun Zhu
Papers
1
Total Citations
1
H-Index
1
About
Dr. Yejun Zhu is a rising researcher in agricultural robotics and precision automation, with a focus on developing intelligent systems for controlled-environment agriculture. His most cited work, "Design and Experiment of a Greenhouse Autonomous Following Robot Based on LQR–Pure Pursuit" (2025), addresses a critical challenge in greenhouse operations: achieving accurate path tracking in complex, confined environments. By integrating Linear Quadratic Regulator (LQR) control with the Pure Pursuit algorithm, Dr. Zhu significantly improves tracking accuracy and reduces error compared to traditional curve-tracking methods. This study, which employs ANSYS Workbench for structural analysis, demonstrates a practical, high-precision autonomous following robot designed for real-world greenhouse deployment. While his citation count is currently modest at 1, the work represents a foundational contribution to the field, offering a robust solution for autonomous navigation in agriculture. Dr. Zhu’s research bridges control theory and applied robotics, with potential impacts on labor efficiency and crop management. His ongoing work promises to advance the next generation of smart farming technologies, making him a researcher to watch in agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1