Guanglong Xun
Papers
1
Total Citations
20
H-Index
1
About
Dr. Guanglong Xun is a robotics researcher whose work centers on advancing path planning algorithms for autonomous systems, with a particular focus on improving the efficiency and smoothness of motion in two-dimensional environments. His most notable contribution is the development of the CAF-RRT* algorithm, a novel approach that enhances the classic Rapidly-exploring Random Trees (RRT) family by integrating a Circular Arc Fillet method. This innovation addresses critical limitations in prior RRT variants—such as Quick-RRT* and bidirectional RRT—by producing smoother, more feasible paths while reducing computational overhead. The algorithm, published in 2022, has already garnered 20 citations, reflecting its growing influence in the field of mobile robotics and autonomous navigation. Dr. Xun’s work is particularly valuable for applications requiring real-time, collision-free motion planning, such as warehouse logistics and autonomous vehicles. By bridging the gap between theoretical optimality and practical implementability, his research offers a tangible step forward in making robotic systems more reliable and efficient in complex, obstacle-rich environments.
Research Focus
Key Achievements
Top Papers
- 1