Associate. Professor | Zhejiang University | China
Dr. Daxiong Ji is a distinguished researcher whose extensive contributions in marine science and intelligent systems are firmly rooted in robotics, with his work consistently advancing the global understanding of autonomous systems. His professional journey demonstrates a sustained commitment to robotics, especially in marine robotics, underwater robotics, intelligent robotics, and control-oriented robotics applications. As an associate professor and doctoral supervisor at the Ocean College of Zhejiang University, he has established a strong research portfolio that reflects a deep engagement with cutting-edge robotics innovations. His scholarly output exceeds forty peer-reviewed publications and more than twenty invention patents, each reinforcing his influence in the evolution of advanced robotics for underwater environments. His collaborations with leading experts, including international partnerships in control theory and underwater systems engineering, highlight his role in strengthening interdisciplinary ties across global robotics communities. Dr. Daxiong Ji’s research in marine robotics has driven novel solutions in dynamic modeling, autonomous navigation, fault diagnosis, and intelligent perception systems. His pioneering development of underwater multi-rotor platforms and data-driven diagnostic systems for deep-sea thrusters showcases high-impact applications of robotics that enhance safety, operational reliability, and environmental sustainability. His inventive work on intelligent robotic platforms for ship maintenance demonstrates the societal value of robotics, particularly in reducing labor intensity, improving maritime efficiency, and contributing to ocean-engineering innovation. Beyond research, he serves the international robotics field as an IEEE senior member, guest editor, reviewer for numerous prestigious journals, and evaluator for major scientific programs, further solidifying his leadership within the broader robotics landscape. His academic service and accomplishments reflect a holistic dedication to advancing robotics technologies while nurturing the next generation of scientists in marine robotics and intelligent systems. Google Scholar profile of 1211 Citations, 16 h-index, 22 i10-index.
Profiles: Google Scholar | ORCID
Featured Publications
1. Zhang, B., Ji, D., Liu, S., Zhu, X., & Xu, W. (2023). Autonomous underwater vehicle navigation: A review. Ocean Engineering, 273, 113861.
2. Gan, W., Zhu, D., & Ji, D. (2018). QPSO-model predictive control-based approach to dynamic trajectory tracking control for unmanned underwater vehicles. Ocean Engineering, 158, 208–220.
3. Bi, Z., Zhang, N., Xue, Y., Ou, Y., Ji, D., Zheng, G., & Chen, H. (2024). Oceangpt: A large language model for ocean science tasks. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.
4. Chen, C. W., Jiang, Y., Huang, H. C., Ji, D. X., Sun, G. Q., Yu, Z., & Chen, Y. (2017). Computational fluid dynamics study of the motion stability of an autonomous underwater helicopter. Ocean Engineering, 143, 227–239.
5. Ji, D., Yao, X., Li, S., Tang, Y., & Tian, Y. (2021). Model-free fault diagnosis for autonomous underwater vehicles using sequence convolutional neural network. Ocean Engineering, 232, 108874.