Papers
9
Total Citations
49
H-Index
4
About
Dr. Gang Xue is a leading researcher in underwater robotics and intelligent control systems, with a focus on advancing autonomous marine exploration technologies. His major contributions span three key areas: underwater object detection, biomimetic robotic fish hydrodynamics, and robust trajectory control for robotic manipulators. Notably, his 2023 work on an underwater object detection algorithm incorporating channel and spatial fusion attention mechanisms has garnered 20 citations, addressing critical challenges in low-visibility marine environments. Dr. Xue has also pioneered studies on fish-like robots, investigating how attack angles and complex seafloor terrain affect hydrodynamic performance—work that has earned citations for its practical implications in deep-sea sampling. His recent 2025 publications introduce adaptive non-singular terminal sliding mode control and disturbance observer-based inverse sliding mode strategies for robotic arms and fish operating under unknown time-varying disturbances, achieving 11 and 2 citations respectively. Additionally, he has explored hybrid-driven robotic fish combining propeller and biomimetic fin propulsion, as well as deep learning-based obstacle avoidance for hyper-redundant manipulators. Through his integrated approach to sensing, modeling, and control, Dr. Xue is shaping the next generation of intelligent underwater vehicles capable of stable, precise operation in the most challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Waypoint-based path following for robotic fish with hybrid actuators3 citations · 2025
- 6
- 7
- 8Mathematical modeling of a six-axis force/moment sensor2 citations · 2015
- 9