Xuyang Chen
Papers
1
Total Citations
47
H-Index
1
About
Xuyang Chen is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and autonomous navigation. His most cited work, "Path Planning with Improved Artificial Potential Field Method Based on Decision Tree" (2020, 47 citations), introduces a novel hybrid approach that integrates decision tree logic to overcome the local minima and oscillation problems inherent in traditional artificial potential field methods. This contribution significantly enhances the safety and efficiency of robot movement in complex, obstacle-dense environments. By fusing machine learning concepts with classical control theory, Chen has advanced the practical deployment of mobile robots in dynamic settings. His research directly addresses the core challenge of enabling moving objects to reach target points without collision, making his work foundational for students and engineers developing autonomous systems. Chen’s achievements demonstrate a rare ability to bridge theoretical algorithms with real-world robotic applications, solidifying his reputation as an innovator in the field of intelligent path planning.
Research Focus
Key Achievements
Top Papers
- 1