Zezhong Li
Papers
1
Total Citations
8
H-Index
1
About
Zezhong Li is a leading researcher in autonomous underwater robotics and intelligent path planning, with a particular focus on enhancing the navigational efficiency and safety of underwater gliders. His most impactful contribution is the development of AD-RRT*, an innovative global path planning algorithm that integrates alpha shapes and DBSCAN clustering with the RRT* framework. This work, published in 2025 and already garnering 8 citations, addresses critical challenges in obstacle-dense underwater environments by generating smoother, safer, and more computationally efficient trajectories. Li’s approach stands out for its ability to dynamically adapt to complex, unstructured terrains, significantly reducing the risk of collision while optimizing energy consumption—a vital advancement for long-duration autonomous missions. His research bridges the gap between theoretical motion planning and practical deployment, offering a robust solution for real-world underwater navigation. By pushing the boundaries of sampling-based planning algorithms, Li is helping to enable more reliable and autonomous exploration of our oceans, with potential applications in environmental monitoring, marine archaeology, and defense. His work is quickly becoming essential reading for engineers and researchers working on autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1