Guangyong Yang
Papers
1
Total Citations
5
H-Index
1
About
Dr. Guangyong Yang is a rising scholar in the field of robotics and autonomous systems, with a primary focus on path planning and control theory. His most-cited work, "Improved Path Planning and Controller Design Based on PRM" (2025), introduces a novel integration of the Probabilistic Road Map (PRM) method with Bézier curves to enhance path smoothness, coupled with a Lyapunov-function-based controller for robust path tracking. This contribution addresses critical challenges in autonomous navigation, improving both the efficiency and stability of robotic movement in complex environments. With 5 citations already, his research is gaining traction among peers working on motion planning and nonlinear control. Dr. Yang’s work stands out for its practical approach to bridging theoretical control design with real-world path optimization, offering a foundation for safer and more reliable autonomous systems. As an early-career researcher, his innovative synthesis of geometric planning and Lyapunov stability theory marks him as a promising contributor to the advancement of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Improved Path Planning and Controller Design Based on PRM5 citations · 2025