Xinghuan Feng
Papers
2
Total Citations
87
H-Index
2
About
Xinghuan Feng is a leading researcher in mobile robotics and artificial intelligence, with a primary focus on path planning, obstacle avoidance, and robotic control systems. Their most significant contribution is the development of a novel artificial potential field method for mobile robot navigation, which introduced the innovative "gravity chain" concept to overcome the limitations of traditional potential field approaches. This groundbreaking work, published in 2010, has garnered 85 citations and remains a foundational reference in the field of robot motion planning. Feng has also made notable contributions to the RoboCup domain, particularly in developing advanced dribbling strategies for robot soccer simulations. By addressing the shortcomings of conventional dribbling methods, their work has enhanced the performance and autonomy of robotic agents in competitive environments. Feng's research bridges theoretical advances with practical applications, demonstrating a deep understanding of the challenges in real-world robot navigation and control. Their work continues to influence both academic research and the development of more intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2The strategy of dribbling based on artificial potential field2 citations · 2010