Xingru Qu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xingru Qu is a pioneering researcher in the field of underwater robotics, with a specialized focus on intelligent control systems and autonomous navigation. Their most notable contribution lies in the development of deep reinforcement learning (DRL)-based algorithms for three-dimensional path tracking control of underwater robots, as demonstrated in their highly cited 2023 paper. This work introduces a hybrid guidance and control framework that enables underwater vehicles to learn complex path-tracking behaviors through environmental interaction, significantly advancing the autonomy and adaptability of subsea systems. By integrating DRL with traditional control methods, Dr. Qu has addressed critical challenges in underwater vehicle maneuverability, particularly in dynamic and unstructured environments. Their research bridges the gap between machine learning and marine robotics, offering practical solutions for applications in ocean exploration, environmental monitoring, and offshore infrastructure inspection. With their innovative approach to combining reinforcement learning with three-dimensional motion control, Dr. Qu continues to shape the future of intelligent underwater systems, making them a rising authority in this interdisciplinary field.
Research Focus
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Top Papers
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