Changwei Cheng
Papers
1
Total Citations
12
H-Index
1
About
Changwei Cheng is a researcher in robotics and autonomous navigation, with a primary focus on path planning and obstacle avoidance for mobile robots. His most significant contribution lies in advancing the artificial potential field (APF) method, a foundational technique in robot motion planning. In his highly cited 2019 work, Cheng proposed an improved APF method that integrates the dynamic window approach (DWA) with path optimization, directly addressing the critical problem of robots becoming trapped in local minima. This hybrid solution enhances both the safety and efficiency of real-time navigation, making it more robust for complex environments. With over a dozen citations on this single paper, Cheng’s work has been recognized as a practical and impactful refinement to a classic algorithm. His research continues to influence the development of intelligent, adaptive navigation systems, bridging the gap between theoretical path planning and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1