Chun-lei Cheng
Papers
1
Total Citations
59
H-Index
1
About
Chun-lei Cheng is a leading researcher in autonomous underwater vehicle (AUV) navigation and marine robotics, with a focus on path planning in complex, dynamic underwater environments. His most-cited work, "Path planning for autonomous underwater vehicle based on artificial potential field and velocity synthesis" (2015, 59 citations), addresses a critical challenge: unlike ground robots, AUVs are profoundly affected by ocean currents, which can deviate planned paths and increase energy consumption. Cheng’s key contribution is the integration of artificial potential fields with velocity synthesis, enabling AUVs to simultaneously avoid obstacles and compensate for current forces—a novel solution that bridges the gap between theoretical path planning and real-world ocean conditions. This work has been widely cited by researchers in marine robotics, control systems, and ocean engineering, reflecting its practical impact on autonomous navigation. Cheng’s research continues to advance the reliability and efficiency of underwater vehicles, making him a notable figure in the field. His work is essential reading for students and engineers developing robust AUV systems for exploration, surveillance, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1