机器人大模型

机器人技术

机械臂灵巧操作

触觉感知

机器人感知

水下机器人

招生方向：计算机应用技术、控制理论与控制工程

2026年所里名额已满，但还能招收中关村学院直博士2名（学籍在中科院自动化所），从事方向：机器人大模型、视觉和触觉大模型，欢迎具有自动控制、计算机、机电一体化、机器人的考生联系报考, 可与我邮件联系：yu.wang@ia.ac.cn

2011-09--2016-06   中国科学院自动化研究所   工学博士
2007-09--2011-06   北京理工大学   工学学士

2023/07-现在,    中国科学院自动化研究所, 研究员

2018/10-2023/07,  中国科学院自动化研究所, 副研究员

2016/07-2018/10,  中国科学院自动化研究所, 助理研究员

1.        2024年广东省科技进步一等奖（第一完成人）

2.        2023年ICMA会议Toshio Fukuda Best paper award in Mechatronics

3.        2022年中国自动化学会技术发明一等奖 

4.        2022年入选中国科学院青年创新促进会优秀会员

5.        2020年DDCLS会议Best paper award 

6.        2020年北京市青年人才托举工程入选者

7.    2019年中国自动化学会技术发明一等奖

8.        2019年中国自动化学会科普奖 

9.    2018年入选中国科学院青年创新促进会会员

10.        2018年水下机器人目标抓取大赛定点抓取组三等奖

11.    2018年水下机器人目标抓取大赛在线识别组一等奖

12.  2018年中国自动化学会优秀博士学位论文奖

13.    2016年中国科学院院长特别奖  

14.    2016年中国科学院优秀毕业生

15.    2016年北京市优秀毕业生  

[1]      Yu Wang, Rui Wang, Shuo Wang, Min Tan, and Junzhi Yu, “Underwater bioinspired propulsion: from inspection to manipulation,” IEEE Transactions on Industrial Electronics, vol. 67, no. 9, pp. 7629–7638, 2020.

[2]      Yu Wang, Chong Tang, Mingxue Cai, Jiye Yin, Shuo Wang, Long Cheng, Rui Wang, and Min Tan, “Real-time underwater onboard vision sensing system for robotic gripping,” IEEE Transactions on Instrumentation and Measurement, vol 70, article number 5002611, 2021.

[3]      Yu Wang, Chong Tang, Shuo Wang, Long Cheng, Rui Wang, Min Tan, and Zengguang Hou, “Target tracking control of a biomimetic underwater vehicle through deep reinforcement learning,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 8, pp. 3741–3752, 2022.

[4]      Yu Wang, Mingxue Cai, Shuo Wang, Xuejian Bai, Rui Wang, and Min Tan, “Development and control of an underwater vehicle-manipulator system propelled by flexible flippers for grasping marine organisms,” IEEE Transactions on Industrial Electronics, vol. 69, no. 4, pp. 3898–3908, 2022.

[5]      Yu Wang, Hongfei Chu, Ruichen Ma, Xuejian Bai, Long Cheng*, Shuo Wang and Min Tan*, “Learning-based discontinuous path following control for a biomimetic underwater vehicle,” Research,  DOI: 10.34133/research.0299, 2023.

[6]      Yu Wang, Shuo Wang, Qingping Wei, Min Tan, Chao Zhou, and Junzhi Yu, “Development of an underwater manipulator and its free-floating autonomous operation,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 2, pp. 815–824, 2016.

[7]      Yu Wang, Shuo Wang, Min Tan, Chao Zhou, and Qingping Wei, “Real-time dynamic Dubins-Helix method for 3-D trajectory smoothing,” IEEE Transactions on Control Systems Technology, vol. 23, no. 2, pp. 730–736, 2015. 

[8]      Yu Wang, Shuo Wang, and Min Tan, “Path generation of autonomous approach to a moving ship for unmanned vehicles,” IEEE Transactions on Industrial Electronics, vol. 62, no. 9, pp. 5619–5629, 2015.

[9]      Mingxue Cai, Yu Wang, Shuo Wang, Rui Wang, Long Cheng, and Min Tan, “Prediction-based seabed terrain following control for an underwater vehicle-manipulator system,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 8, pp. 4751–4760, 2021.

[10]  Mingxue Cai, Shuo Wang, Yu Wang, Rui Wang, and Min Tan, “Coordinated control of underwater biomimetic vehicle-manipulator system for free floating autonomous manipulation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 8, pp. 4793–4803, 2021.

[11]  Mingxue Cai, Yu Wang, Shuo Wang, Rui Wang, Yong Ren, and Min Tan, “Grasping marine products with hybrid-driven underwater vehicle-manipulator system,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1443–1454, 2020.

[12]  Zhongjing Ma, Zhan Chen, Xiaochen Zheng, Tianyu Wang, Yuyang You, Suli Zou, and Yu Wang, “A biological immunity based neuro prototype for few-shot anomaly detection with character embedding,” Cyborg and Bionic Systems, 2023, DOI: 10.34133/cbsystems.0086.

[13]  Linxiang Sun, Yu Wang, Xiaolong Hui, Xibo Ma, Xuejian Bai, and Min Tan, “Underwater robots and key technologies for operation control,” Cyborg and Bionic Systems, 2023, accepted.

[14]  Shaowei Cui, Yu Wang, Shuo Wang, Rui Wang, Wei Wang, Min Tan, “Real-time perception and positioning for creature picking of an underwater vehicle,” IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 3783–3792, 2020.

[15]  Xuejian Bai, Yu Wang, Rui Wang, Shuo Wang, and Min Tan, “Hydrodynamics of a flexible flipper for an underwater vehicle-manipulator system,” IEEE/ASME Transactions on Mechatronics, vol. 27, no. 2, pp. 868–879, 2022.

[16]  Jiaqi Lv, Yu Wang, Chong Tang, Shuo Wang, Wenxing Xu, Rui Wang, and Min Tan, “Disturbance rejection control for underwater free-floating manipulation,” IEEE/ASME Transactions on Mechatronics, vol. 27, no. 5, pp. 3742–3750, 2022.  (SCI)

[17]  Jiaqi Lv, Yu Wang, Shuo Wang, Xuejian Bai, Rui Wang, and Min Tan, “A collision-free planning and control framework for a biomimetic underwater vehicle in dynamic environments,” IEEE/ASME Transactions on Mechatronics, vol. 28, no. 3, pp. 1415-1424, 2023.

[18]  Mingxue Cai, Yu Wang, Shuo Wang, Rui Wang, and Min Tan, “Autonomous manipulation of an underwater vehicle-manipulator system by a composite control scheme with disturbance estimation,” IEEE Transactions on Automation Science and Engineering, 2023, DOI：10.1109/TASE.2023.3236149.

[19]  Ruichen Ma, Yu Wang, Chong Tang, Shuo Wang, and Rui Wang, “Position and attitude tracking control of a biomimetic underwater vehicle via deep reinforcement learning,” IEEE/ASME Transactions on Mechatronics, vol. 28, no. 5, pp. 2810-2819, 2023.

[20]  Ruichen Ma, Yu Wang, Shuo Wang, Long Cheng, Rui Wang, and Min Tan, “Sample-observed soft actor-critic learning for path following of a biomimetic underwater vehicle,” IEEE Transactions on Automation Science and Engineering, 2023, DOI：10.1109/TASE.2023.3264237.

 

1.  国家自然科学基金联合基金重点项目, U24A20282，水下机器人自主探测作业基础理论与关键技术，2025/01-2028/12，257万，项目负责人

2.  国家自然科学基金优秀青年科学基金项目，62122087，仿生机器人及其水下应用，2022/01-2024/12，200万，项目负责人