Teng Wan
Papers
1
Total Citations
7
H-Index
1
About
Teng Wan is a leading researcher in autonomous underwater robotics, with a primary focus on swarm intelligence and multi-robot coordination. His most influential work introduces a hierarchical model for autonomous underwater vehicle (AUV) swarms, inspired by the collective behaviors of fish schools and bird flocks. In this model, a designated leader robot carries critical navigation and decision-making capabilities, enabling the swarm to operate cohesively and efficiently in complex underwater environments. This contribution addresses fundamental challenges in underwater communication and coordination, offering a scalable framework for applications in ocean exploration, environmental monitoring, and defense. With his 2025 paper already earning 7 citations, Wan’s research is gaining rapid recognition for its practical and theoretical significance. His work stands out for bridging biological inspiration with engineering design, providing a clear pathway for deploying coordinated AUV teams in real-world missions. Teng Wan’s contributions are shaping the future of autonomous underwater systems, making him a notable figure in the field of marine robotics and swarm engineering.
Research Focus
Key Achievements
Top Papers
- 1Hierarchical Model for an AUV Swarm with a Leader7 citations · 2025