Papers

1

Total Citations

18

H-Index

1

About

Dr. Jiaxing Che is a leading researcher in autonomous underwater vehicle (AUV) control systems, with a primary focus on real-time trajectory tracking and hydrodynamic disturbance compensation. His most significant contribution is the development of a novel meta-learning and self-adaptation hybrid approach for ocean current compensation, published in 2023, which has already garnered 18 citations for its innovative solution to a long-standing challenge in underwater robotics. This work directly addresses the critical problem of AUV trajectory deviations caused by complex hydrodynamic effects, offering a more responsive alternative to traditional model-based control methods that often suffer from timeliness issues. Dr. Che’s research bridges the gap between machine learning and practical marine robotics, enabling AUVs to maintain precise navigation in unpredictable underwater environments. His approach represents a paradigm shift from static, pre-programmed control to adaptive, learning-based systems, significantly enhancing the operational reliability of autonomous underwater platforms. With his work being rapidly adopted by the marine robotics community, Dr. Che is establishing himself as a key innovator in intelligent underwater vehicle control, with potential applications spanning oceanographic research, offshore infrastructure inspection, and environmental monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Ocean Current Compensation for AUV Trajectory Tracking Control Using a Meta-Learning and Self-Adaptation Hybrid Approach
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago