Papers
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Total Citations
2
H-Index
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About
Dr. Lixin Xu is a leading researcher in intelligent maritime systems, specializing in ship trajectory control and autonomous navigation. Their most-cited work, "Research on Ship Trajectory Control Based on Deep Reinforcement Learning" (2025, 2 citations), pioneers the application of deep reinforcement learning (DRL) to address critical challenges in ship maneuvering, such as environmental disturbances and dynamic uncertainties. By integrating DRL’s adaptive learning and optimization capabilities, Dr. Xu has developed robust controllers that enhance trajectory tracking accuracy and decision-making in complex marine environments. This foundational contribution bridges the gap between autonomous driving and maritime robotics, offering scalable solutions for unmanned surface vessels. Dr. Xu’s research has already garnered early recognition, with citations from peers exploring DRL in navigation systems. Their work not only advances theoretical frameworks in control theory but also holds practical implications for safer, more efficient maritime operations. As a rising voice in the field, Dr. Xu continues to push boundaries in autonomous ship technology, inspiring future innovations in intelligent transportation and ocean engineering.
Research Focus
Key Achievements
Top Papers
- 1Research on Ship Trajectory Control Based on Deep Reinforcement Learning2 citations · 2025