Yanling Gong
Papers
2
Total Citations
7
H-Index
2
About
Yanling Gong is a rising researcher in biomimetic robotics, with a focus on bio-inspired underwater propulsion and multi-agent robotic systems. Her work centers on the hydrodynamic performance of biomimetic robotic fish—innovative platforms designed for quiet, agile, and efficient underwater operations. In her 2024 study, she investigated how counterflow regions influence the thrust and maneuverability of these robots, providing critical insights for optimizing their design in real-world aquatic environments. More recently, in 2025, Gong advanced the field of cooperative robotics by developing a distributed model predictive control framework for multi-target search using multiple bionic robotic fish. This work addresses key challenges in swarm coordination and autonomous underwater exploration. Though early in her career, with her most-cited papers accumulating 4 and 3 citations respectively, Gong’s contributions are already attracting attention from robotics and engineering experts. Her research holds promise for applications in environmental monitoring, underwater surveillance, and search-and-rescue missions, positioning her as an emerging voice in the next generation of bio-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2