Papers
2
Total Citations
29
H-Index
2
About
Yuli Hu is a pioneering researcher at the intersection of autonomous underwater robotics and advanced energy storage systems. Her work primarily focuses on enabling next-generation underwater vehicles through intelligent control and high-performance power solutions. Hu’s most impactful contribution is her 2021 study on deep reinforcement learning for vectored thruster autonomous underwater vehicle (AUV) control, which has garnered 21 citations. This research directly addresses the critical challenge of navigating highly nonlinear marine environments, offering a robust control system that adapts to variable hydrodynamic forces and ocean currents—a significant leap over traditional methods. Complementing this, her 2020 work on multiradical-stabilized hollow carbon spheres (8 citations) introduces a novel pressure-resistant cathode material. This innovation dramatically improves lithium/sodium storage capacity and stability, directly tackling the energy density limitations that constrain underwater robot endurance and operational depth. By bridging intelligent robotics with materials science, Hu is laying the groundwork for more capable, longer-mission AUVs, making her a key figure in marine technology advancement.
Research Focus
Key Achievements
Top Papers
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