Papers
2
Total Citations
7
H-Index
2
About
Han Bao is a rising researcher in the field of underwater robotics, with a specific focus on the modeling, control, and path planning of bio-inspired underwater snake-like robots (USRs). His work addresses critical challenges in autonomous underwater vehicle (AUV) design, particularly in the presence of complex, real-world environmental disturbances. Bao’s major contributions include the development of advanced control strategies for trajectory tracking and path following. He has pioneered the use of an integral line of sight (ILOS) method combined with nonsingular terminal sliding mode control to enable precise course tracking, even when exposed to ocean currents. Furthermore, he has introduced a multi-strategy improved sparrow search algorithm to optimize locomotion efficiency. His 2023 paper on path following under ocean currents has garnered 4 citations, while his 2024 work on full-link trajectory tracking with vector thrusters, addressing strong time-varying disturbances, has received 3 citations. These publications are foundational for the next generation of agile, disturbance-resistant underwater robots, positioning Bao as a key contributor to the advancement of autonomous marine systems.
Research Focus
Key Achievements
Top Papers
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