Huajun Yuan

Papers

Total Citations

H-Index

About

Huajun Yuan is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on path planning in constrained and complex environments. His most-cited paper, "Comparison and Improvement of Local Planners on ROS for Narrow Passages" (2022, 7 citations), provides a rigorous comparative analysis of the widely used Dynamic Window Approach (DWA) and Time Elastic Band (TEB) local planners within the Robot Operating System (ROS). Yuan systematically evaluates their performance in narrow passage scenarios—a critical challenge for real-world deployment—and proposes targeted improvements to enhance navigation reliability and efficiency. This work addresses the growing demand for robust autonomous systems in industrial, warehouse, and service robotics, where tight spaces pose significant obstacles. By offering both a benchmark and practical refinements, Yuan’s research aids developers in selecting and tuning local planners for optimal performance. His contributions are particularly valuable for students and engineers working on ROS-based mobile robots, bridging the gap between theoretical planning algorithms and practical implementation in extreme environments.