Guosheng Geng
Papers
1
Total Citations
1
H-Index
1
About
Dr. Guosheng Geng is a pioneering researcher in agricultural robotics and precision automation, with a focused expertise in greenhouse autonomous systems and intelligent path-tracking algorithms. His most cited work, "Design and Experiment of a Greenhouse Autonomous Following Robot Based on LQR–Pure Pursuit" (2025), addresses a critical challenge in agricultural robotics: achieving high-precision navigation in complex, confined greenhouse environments. By integrating Linear Quadratic Regulator (LQR) control with Pure Pursuit algorithms, Dr. Geng developed a novel approach that significantly improves tracking accuracy and reduces error compared to traditional curve-tracking methods. His research employs advanced simulation tools like ANSYS Workbench to optimize mechanical design and control systems, demonstrating a rigorous, interdisciplinary methodology. Although early in its citation impact, this work represents a foundational contribution to smart agriculture, with potential applications in crop monitoring, harvesting, and material transport. Dr. Geng’s innovations are vital for advancing sustainable, automated farming, offering practical solutions to enhance productivity and reduce labor in controlled-environment agriculture. His ongoing research continues to push the boundaries of robotic autonomy in agricultural settings.
Research Focus
Key Achievements
Top Papers
- 1