Linlin Shi

South China Agricultural University, Zhejiang University of Technology

Papers

Total Citations

H-Index

About

Linlin Shi is a robotics researcher whose work focuses on advancing autonomous navigation and control for agricultural and industrial applications. Her primary research areas include path planning, obstacle avoidance, and adaptive control for robotic systems operating in complex, unstructured environments. Shi’s major contributions are highlighted by her development of the HPS-RRT* algorithm, an improved path planning method for nonholonomic orchard robots that addresses critical challenges such as low search efficiency and local optima, enabling safer task execution in dynamic settings. She has also pioneered an autonomous obstacle avoidance and path planning method for fruit-picking UAVs using LiDAR data, enhancing both efficiency and safety in orchard environments. Additionally, her work on adaptive tracking control for robotic manipulators with unknown input saturation, employing backstepping sliding mode techniques, demonstrates her versatility in tackling nonlinear control problems. With her most-cited papers accumulating citations in 2025—9 for the HPS-RRT* study and 8 for the UAV method—Shi’s research is gaining traction for its practical impact on agricultural robotics. Her innovative approaches to real-world challenges position her as a rising contributor to autonomous systems, offering valuable insights for students and researchers in robotics and control engineering.