Papers
4
Total Citations
36
H-Index
2
About
Xiujing Gao is a rising leader in the field of underwater robotics and perception, whose work bridges the critical gap between agile robotic locomotion and high-fidelity underwater vision. Her research centers on the design of bio-inspired miniature robots and the development of advanced image-processing algorithms for degraded aquatic environments. Gao’s most notable contribution is the creation of a fish-like underwater miniature robot driven by dual piezoelectric actuators, achieving high-speed, controllable locomotion in a compact form factor—a breakthrough that directly addresses the dual challenges of miniaturization and waterproofing. This work, published in 2024, has already garnered 16 citations. Complementing this hardware innovation, Gao has pioneered methods for underwater image enhancement and turbidity removal, including a novel integration of a gated context aggregation network with gray world algorithms and a division-of-focal-plane polarization technique for 3D structured light reconstruction. Her 2025 paper on defect detection in underwater concrete structures, which combines compact robotic systems with edge detection models, further demonstrates her commitment to real-world infrastructure inspection. With a rapidly growing citation record and a portfolio that seamlessly integrates mechanical design with computational perception, Xiujing Gao is shaping the future of autonomous underwater operations.
Research Focus
Key Achievements
Top Papers
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