时间：2025年4月28日 （周一） 10:00-11:30

地点：中国科学院软件园区5号楼4层第二会议室

主讲人：冀大雄，浙江大学，副教授

报告主题：水下无人航行器自主巡航任务中的技术挑战和自主计算方法

报告摘要：

With the rapid development of electronics and information technology, the performance of underwater robots has become increasingly stable, gradually moving from the laboratory to the stage of widespread application. It plays an irreplaceable key role in marine environmental protection, marine resource exploration, offshore oil and gas extraction, salvage and rescue, marine scientific research and other fields. However, due to the constraints of marine environment, communication and perception technology, as well as the complexity of task objectives, research on underwater robot control technology faces many difficulties. For example, inaccurate perception and positioning, weak planning and control, and insufficient fault diagnosis. Autonomous computing is the core technology of underwater robot control, which can greatly enhance the autonomous ability to cope with complex scenarios. This report conducts in-depth discussions on the aforementioned technological challenges, elaborates on the research background of autonomous computing for underwater robots, and systematically summarizes the main technological challenges currently faced. Finally, provide a detailed report on the research work conducted by our laboratory in the past few years, the results obtained, and application cases.

报告人介绍：

Dr.Daxiong Ji is an associate professor at State Key Laboratory of Ocean Sensing & Ocean College, Zhejiang University which is one of the top universities in China. His research focuses on ocean robot control and AI-driven control including navigation and fault diagnosis. He has published more than 70 academic papers in international authoritative journals and conferences, including IEEE Transactions on Industrial Informatics, Ocean Engineering, Biosystems Engineering, and Computers and Electronics in Agriculture. His papers were cited 943 times in the Google Scholar. He has obtained over 20 invention patents as the first inventor including China and US patents. He has high expertise in the fields of autonomous control and AI driven control of ocean robots. He also led the team to design and develop intelligent underwater robots for ship cleaning, intelligent multi rotor underwater robots, and new concept quadcopter underwater robots. His research achievements in fault diagnosis, autonomous control, and autonomous navigation have been adopted by deep-sea intelligent underwater robots such as "Haidou-1", "Qianlong 1", and "Qianlong 2". He was also the winner of the Outstanding Scientific and Technological Achievement Award of the Chinese Academy of Sciences, the first prize of the National Defense Science and Technology Progress Award, and the first prize of the Liaoning Province Natural Science Academic Achievement Award. At the same time, he is also a Senior Member of IEEE, a Senior Member of China Automation Society.