Yingda Shang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yingda Shang is a robotics researcher whose work focuses on intelligent navigation and obstacle avoidance for autonomous underwater vehicles (AUVs). Their most cited paper, "The underwater obstacle avoidance method based on ROS" (2023), introduces a real-time path planning system that leverages the Robot Operating System (ROS) and the artificial potential field algorithm. This contribution addresses a critical challenge in underwater robotics: enabling safe, autonomous navigation in dynamic and unstructured environments. By integrating ROS with the potential field method, Dr. Shang’s work provides a practical framework for reducing computational complexity while maintaining robust obstacle detection and avoidance. Although early in their citation trajectory, this research has already garnered attention for its potential applications in ocean exploration, environmental monitoring, and underwater infrastructure inspection. Dr. Shang’s work represents a meaningful step toward more adaptive and reliable autonomous systems in challenging aquatic settings.
Research Focus
Key Achievements
Top Papers
- 1The underwater obstacle avoidance method based on ROS2 citations · 2023