Fenglei Yang

North China University of Water Resources and Electric Power

Papers

Total Citations

H-Index

About

Fenglei Yang is a researcher whose work bridges robotics, control systems, and sensor-based navigation. His most cited paper, "Path Planning of an Indoor Mobile Robot Navigated by Infrared" (2010, 4 citations), introduces a novel hybrid approach that combines a resolution-changed time-varying potential field algorithm with fuzzy logic control. This method enables mobile robots to navigate effectively in indoor environments where global target positions are unknown, using laser radar when infrared signals are unavailable. Yang’s contribution lies in enhancing autonomous navigation under partial sensory constraints, offering a practical solution for real-world robotic movement. Though his citation count is modest, his work reflects a focused effort on improving robot adaptability in uncertain conditions—a foundational challenge in mobile robotics. His research is particularly relevant for students and engineers working on sensor fusion, obstacle avoidance, and intelligent path planning in dynamic environments.