Linling Wang
Papers
1
Total Citations
20
H-Index
1
About
Linling Wang is a leading researcher in the field of multi-agent systems and underwater robotics, with a particular focus on autonomous underwater vehicles (AUVs). Her work centers on the coordination and control of multi-AUV formations, addressing critical challenges in dynamic environments. Wang’s most cited paper, "The multi-AUV time-varying formation reconfiguration control based on rigid-graph theory and affine transformation" (2023), has garnered 20 citations, showcasing its immediate impact. In this study, she introduces a novel framework that combines rigid-graph theory with affine transformations to enable real-time, adaptive reconfiguration of AUV formations—a breakthrough for applications like ocean exploration, surveillance, and environmental monitoring. Her contributions advance the theoretical foundations of swarm robotics, offering practical solutions for robust, scalable control under time-varying conditions. Wang’s work is notable for bridging abstract mathematical principles with tangible engineering applications, making her a key figure in the evolution of autonomous underwater systems. Her research continues to inspire new approaches to cooperative robotics, with implications for both military and civilian maritime operations.
Research Focus
Key Achievements
Top Papers
- 1