HE Chao-feng
Papers
1
Total Citations
2
H-Index
1
About
He Chao-feng is a researcher specializing in mobile robotics, with a particular focus on path planning and obstacle avoidance using sensor-based navigation. His most cited work introduces an improved artificial potential field (APF) method in polar coordinates, leveraging laser radar distance data to enhance the safety and reliability of mobile robot movement. By enabling real-time, dynamic obstacle avoidance, this contribution addresses critical challenges in autonomous navigation, offering a more robust alternative to traditional Cartesian-based approaches. Though his citation count remains modest, with his key paper accumulating 2 citations, the work represents a practical step forward in integrating low-cost sensors with adaptive control strategies. He Chao-feng’s research sits at the intersection of robotics, sensor fusion, and real-time control, providing a foundation for further exploration in autonomous systems. His efforts underscore the importance of developing computationally efficient, real-world deployable solutions for mobile robots operating in unstructured environments—a vital area for students and researchers interested in practical robotics and intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1