Qianzhe Cheng

Papers

Total Citations

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About

Qianzhe Cheng is a rising researcher in agricultural robotics and precision automation, with a primary 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 for autonomous robots in complex, confined spaces. By integrating Linear Quadratic Regulator (LQR) control with the Pure Pursuit algorithm, Cheng’s research significantly improves tracking accuracy and reduces error compared to traditional curve-tracking methods. His use of ANSYS Workbench for structural analysis further demonstrates a rigorous, simulation-driven approach to robot design. Although early in his career, with this work already garnering citations, Cheng is establishing a foundation for practical, high-precision automation in agriculture. His contributions are particularly relevant for tasks like crop monitoring, harvesting, and material transport in greenhouses, where reliable navigation is essential. As the demand for sustainable, labor-efficient farming grows, Cheng’s innovative fusion of control theory and mechanical design positions him as a promising voice in the next generation of agricultural robotics.