Enrong Mao

Iwate University, China Agricultural University

Papers

Total Citations

H-Index

About

Enrong Mao is a pioneering researcher in agricultural robotics, with a focus on autonomous navigation, machine vision, and intelligent control systems for mobile robots in farming. His most cited work, "Path tracking control of autonomous agricultural mobile robots" (2007, 32 citations), introduces a suboptimal reference course for headland turning in robot tractors and a robust path-tracking controller, significantly improving operational efficiency in automated farming. Mao also advanced vision-based calibration for agricultural wheeled-mobile robots using BP neural networks (2007, 5 citations), addressing the nonlinear relationship between image points and real-world positions—a foundational step for reliable autonomous navigation. More recently, his 2023 study on image moments-based visual servoing for handling bagged agricultural materials (4 citations) demonstrates ongoing innovation in robotic manipulation, enhancing safety and efficiency in hazardous agricultural tasks. Through these contributions, Mao has helped bridge the gap between theoretical robotics and practical agricultural applications, earning recognition for his work in autonomous systems that reduce human risk and boost productivity. His research remains influential for students and engineers developing next-generation farming robots.