研究简介（200字以内）：

仿生水下机器人、水下图像复原与增强、机器人智能控制、强化学习与决策

教育工作经历：

2014/09-2018/06，电子科技大学，自动化工程学院，本科

2018/09-2023/06，中国科学院自动化研究所，复杂系统决策与认知实验室，博士

2023/09-至今， 福州大学机械工程及自动化学院，副教授

代表性论著（10篇以内）：

1.     S. Yan, X. Chen, Z. Wu, M. Tan, and J. Yu, “HybrUR: A hybrid physical-neural solution for unsupervised underwater image restoration,” IEEE Transactions on Image Processing, 32, 5004-5016, 2023. (SCI 收录, JCR Q1, IF: 10.6)

2.     S. Yan, J. Wang, Z. Wu, M. Tan, and J. Yu, “Autonomous vision-based navigation and stability augmentation control of a biomimetic robotic hammerhead shark,” IEEE Transactions on Automation Science and Engineering, Early Access, 2023. (SCI 收录, JCR Q1, IF: 5.6)

3.     S. Yan, Z. Wu, J. Wang, S. Li, M. Tan, and J. Yu, “Towards unusual rolled swimming motion of a bioinspired robotic hammerhead shark under negative buoyancy,” IEEE Transactions on Mechatronics, Accepted, 2023. (SCI 收录, JCR Q1, IF: 6.4)

4.     S. Yan, Z. Wu, J. Wang, Y. Huang, M. Tan, and J. Yu, “Real-world learning control for autonomous exploration of a biomimetic robotic shark,” IEEE Transactions on Industrial Electronics, 70(4), 3966-3974, 2022. (SCI 收录, JCR Q1, IF: 7.7)

5.     S. Yan, Z. Wu, J. Wang, M. Tan, and J. Yu “Efficient cooperative structured control for a multijoint biomimetic robotic fish,” IEEE/ASME Transactions on Mechatronics, 26(5), 2506-2516, 2021. (SCI 收录, JCR Q1, IF: 6.4)

6.     S. Yan, Z. Wu, J. Wang, M. Tan, and J. Yu, “Marine autonomous navigation for biomimetic underwater robots based on deep stereo attention network,” In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, Sep. 2021, 8418-8423. (EI 收录)

7.     S. Yan, Z. Wu, J. Wang, M. Tan, and J. Yu, “Motion optimization for a robotic fish based on adversarial structured control,” In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), Da’li, China, Sep. 2019, 346-351. (EI 收录)

8.     J. Wang, Z. Wu, S. Yan, M. Tan, and J. Yu, “Real-time path planning and following of a gliding robotic dolphin within a hierarchical framework,” IEEE Transactions on Vehicular Technology, 70(4), 3243-3255, 2021. (SCI 收录, JCR Q1, IF: 6.8)

9.     Y. Huang, P. Li, S. Yan, Y. Ou, Z. Wu and M. Tan, “Tightly-coupled visual-dvl fusion for accurate underwater robot localization,” In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA, Oct. 2023, 2023. (EI 收录)

专利：

1)      水下探索策略模型的训练方法及仿生机器鱼水下探索方法, 中国, ZL202210043511.6.

2)      基于对抗结构化控制的仿生机器鱼运动控制方法, 中国, ZL201911199839.1.

3)      仿生鱼路径控制方法、装置及仿生鱼, 中国, ZL202210442624.3.

4)      仿生滑翔机器海豚的滑翔深度控制方法、系统、装置, 中国, ZL201911189693.2.

5)      Motion control method and system for biomimetic robotic fish based on adversarial structured control, 美国, No. US10,962,976 B1.

6)      Gliding depth control method, system and device for biomimetic gliding robotic dolphin, 美国, US10,935,986B1.