Ruijuan Chi

About

Ruijuan Chi is a leading researcher in agricultural robotics and autonomous navigation, with a focus on enabling intelligent machines to operate in complex, unstructured field environments. Her work centers on multi-sensor fusion, integrating cameras, LiDAR, and IMU data to create robust perception systems for agricultural robots. Chi’s most significant contribution is the development of a real-time method for extracting navigation lines between maize field rows, achieving 29 citations for her 2024 paper. She has also advanced LiDAR odometry and mapping (LOAM) by incorporating semantic information to accurately map challenging maize fields with undulating terrain, a key step toward fully autonomous field robots. Beyond navigation, Chi has designed a specialized handling robot for bagged agricultural materials, addressing the labor-intensive task of loading and unloading deformable bags, and has applied image moments-based visual servoing for precise control. Her work, which has garnered over 70 citations, is directly tackling the practical challenges of deploying robots in agriculture—from navigating under corn canopies to safely handling hazardous materials—making her a vital contributor to the future of precision farming and agricultural automation.

Research Focus

Key Achievements

Top Papers

1. 1
   A Camera-LiDAR-IMU fusion method for real-time extraction of navigation line between maize field rows

   29 citations · 2024
2. 2
   LiDAR Odometry and Mapping Based on Semantic Information for Maize Field

   13 citations · 2022
3. 3
   Design and Simulation of a Handling Robot for Bagged Agricultural Materials

   13 citations · 2016
4. 4
   Fusion of monocular camera and 3D LiDAR data for navigation line extraction under corn canopy

   12 citations · 2025
5. 5
   Image moments-based visual servoing control of bagged agricultural materials handling robot

   4 citations · 2023

Key Collaborators

Contact & Links