Yuanjian Jiang
Papers
1
Total Citations
4
H-Index
1
About
Yuanjian Jiang is a researcher focused on autonomous systems and intelligent vehicle control, with a particular emphasis on underground mining applications. His work centers on the modeling, simulation, and development of unmanned driving systems for load haul dump (LHD) vehicles, a critical area for improving safety and efficiency in hazardous underground environments. In his most cited paper (2022), Jiang proposed a comprehensive simulation framework using Gazebo and ROS, deriving the kinematics model of LHD vehicles and building component models in SolidWorks to enable realistic testing of autonomous navigation and control algorithms. This contribution provides a foundational platform for researchers and engineers working on autonomous mining equipment, reducing the need for costly and dangerous physical trials. With 4 citations to date, his work is gaining recognition in the niche but vital field of underground autonomous driving. Jiang’s research bridges the gap between theoretical robotics and practical industrial deployment, offering scalable solutions for the mining sector’s digital transformation.
Research Focus
Key Achievements
Top Papers
- 1