
王双翌 男 研究员 中科院自动化研究所
电子邮件: shuangyi.wang@ia.ac.cn
通信地址: 北京海淀区中关村东路95号自动化大厦1013
邮政编码: 100190
研究领域
研究方向: 医疗辅助机器人、机器人辅助诊疗、智能超声系统、介入手术导航、机器人力位传感器设计
研究内容:1)基于串、并、柔机构的内窥成像机器人、超声机器人及介入诊疗机器人的设计研发;2)机器人辅助诊疗中的追踪、导航、影像分析与智能控制;3)医疗机器人遥操作和人机交互方法。
招聘信息
基于课题组所在北京及香港实验室定期招收机器人学、机械工程、电气自动化、计算机技术、生物医学工程等背景的博士后、工程师及研究生,欢迎咨询,互相学习、一同进步,为医疗机器人研究添砖加瓦,实现自我价值。
科研情况概览
2016年于英国伦敦国王学院获博士学位,其后于伦敦圣托马斯医院继续从事博士后研究并先后担任助理研究员和副研究员,2019年加入中国科学院自动化研究所,2021年入选中科院率先行动海外人才引进计划。目前担任中国科学院自动化研究所研究员,兼任中国科学院香港创新研究院人工智能与机器人创新中心教授,同时承担中国科学院大学人工智能学院教学工作并担任机器人机构学课程首席教授。 研究方向聚焦于机器人辅助成像及介入手术,从刚柔耦合诊疗器械灵巧操作机构设计、人机协同高临场感邀操作控制技术、增强现实与先验知识驱动的自主导航技术出发,旨在为医护人员远离高风险环境、跨区域对接基层及智能化诊疗提供新方案, 与医疗技术领域如飞利浦医疗、健世科技、聆数医疗、宏济医疗等企业保持长期深入合作,开展协同攻关。所研发心脏诊疗经食道内窥机器人被业内认可为首创性成果并曾向英王室安妮公主展示;所研发用于胎儿早期筛查的双臂多冗余度机器人于伦敦圣托马斯医院成功完成80例临床实测;所研发便携式超声机器人成功完成世界首例超声机器人远程遥操作引导下的卵圆孔未必封堵术。以上成果被美国科学促进会旗下新闻媒体EurekAlert及人民日报、中国军网等权威媒体多次报道,以第一及通讯作者身份在TMECH, TMRB, TIE, TIM, RAM, RAL等领域内高水平期刊和会议发表近40篇论文,担任MIMTT、MICCAI-ASMUS、IEEE DTPI等国际学术会议程序委员会成员、技术委员会成员或分会场主席,兼任中国超声医学工程学会互联网医疗超声专委会及中国医药教育协会航天医学专委会常务委员。
教育及工作经历
2022-07~至今, 中国科学院自动化研究所多模态人工智能系统全国重点实验室, 研究员
2019-11~2022-06, 中国科学院自动化研究所复杂系统管理与控制国家重点实验室, 副研究员
2016-10~2019-10, 伦敦国王学院生物医学工程与影像学院圣托马斯医学中心, 博士后
2013-10~2017-10, 伦敦国王学院生物医学工程与影像学院圣托马斯医学中心, 博士
2012-09~2013-05, 邓迪大学科学与工程学院机械工程系, 荣誉学士
2009-09~2013-07, 天津大学精密仪器与光电子工程学院生物医学工程系, 工学学士
研发案例选摘
代表性论著(一作&通讯)
(* Corresponding Author; # Co-first Author)
1. Wang, H., Dong. S., Yang, Q., Han, J., He, Z., He, Y., & Wang, S.* A Virtual Ultrasonography Simulator for Skill Training Using Magnetic-Inertial Probe Tracking. IEEE/ASME Transactions on Mechatronics, 2023.
2. Deng, Z., Hao, M., Hou, X., & Wang, S.* System Design and Workspace Optimization of a Parallel Mechanism-Based Portable Robot for Remote Ultrasound. International Conference on Automation, Control and Robotics Engineering, 2023.
3. Lin, H., Xie, Y., Hou, X., Chen, C., & Wang, S.* A Comparison of Differential Kinematics and Machine Learning Approaches in Motion Planning for Intra-operative Cardiac Ultrasound Robots. IEEE International Conference on Mechatronics and Automation, 2023.
4. Deng, Z., Hou, X., Zhang, P., Hao, M., Chen, C., & Wang, S.* A Novel IMU-Based 6-DOF Pose Tracking Method for Parallel-Mechanism-Based Ultrasound Robot. IEEE International Conference on Mechatronics and Automation, 2023.
5. Xie, Y., Guo, J., Hou, X., Liu, H., Housden, J., Kawal, R., Hou, Z., & Wang, S.* Robot-assisted Trans-esophageal Ultrasound and the Virtual Admittance-Based Master-slave Control Method Thereof. IEEE/ASME Transactions on Mechatronics, 2023.
6. Xie, Y., Hou, X., & Wang, S.* Design of a Novel Haptic Joystick for the Teleoperation of Continuum-Mechanism-Based Medical Robots. Robotics, 12(2), 52, 2023.
7. Bao, X., Wang, S.*, Zheng, L., Housden, J., Hajnal, J., & Rhode, K. A Novel Ultrasound Robot with Force/torque Measurement and Control for Safe and Efficient Scanning. IEEE Transactions on Instrumentation and Measurement, 72, 1-12, 2023.
8. Bao, X., Wang, S.*, Zheng, L., Housden, J., Hajnal, J., & Rhode, K. SAPM: Self-Adaptive Parallel Manipulator with Pose and Force Adjustment for Robotic Ultrasonography. IEEE Transactions on Industrial Electronics, 70(10), 10333-10343, 2023.
9. Dang, Z., Yang, Q., Deng, Z., Han, J., He, Y., & Wang, S.* Digital Twin-based Skill Training with a Hands-on User Interaction Device to Assist in Manual and Robotic Ultrasound. IEEE Journal of Radio Frequency Identification, 6, 787-793, 2022.
10. Xie, Y., Hou, X., Liu, H., Housden, J., Kawal, R., Hou, Z., & Wang, S.* Contact Force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing, In International Workshop on Advances in Simplifying Medical UltraSound. Lecture Notes in Computer Science, 13565, 152-161, 2022.
11. Yang, Q., Han, J., Wang, R., Zhang, T., Zhang, Y., Wang J., Xu, L., Hou, Z., Wang, S.* & He, Y.* Development of Digital Fetal Heart Models with Virtual Ultrasound Function Based on Cardiovascular Casting and CT Scan. Bioengineering, 9(10), 524, 2022.
12. Wang, H.#, Wang, S.#, & Rajamani, R.* Electromagnetic Angular Position Sensing Using High-Magnetic-Permeability Materials. IEEE Sensors Journal, 22(12), 11626-11636, 2022.
13. Wang, H.#, Wang, S.#, Liu, H., Hou, Z., Rhode, K., & Rajamani, R.* 3-D Electromagnetic Position Estimation System Using High-Magnetic-Permeability Metal for Continuum Medical Robots. IEEE Robotics and Automation Letters, 7(2), 2581-2588, 2022. (Accepted by ICRA and presented)
14. Wang, S., Housden, J., Bai, T., Liu, H., Back, J., Singh, D., Rhode, K., Hou, Z., & Wang, F.* Robotic Intra-Operative Ultrasound: Virtual Environments and Parallel Systems. IEEE/CAA Journal of Automatica Sinica, 8(5), 1095-1106, 2021.
15. Wang, S.*#, Wang, K.#, Tang, R., Qiao, J., Liu, H., & Zeng, H. Design of a Low-cost Miniature Robot to Assist COVID-19 Nasopharyngeal Swab Sampling. IEEE Transactions on Medical Robotics and Bionics, 3(1), 289-293, 2021.
16. Deng, Z., Hou, X., Wang, S.* Workspace Optimization of a 6-RSS Stewart-Gough Robotic Platform to Assist Ultrasound Diagnosis. In IEEE International Conference on Digital Twins and Parallel Intelligence, 230-233, 2021.
17. Tang, R., Zheng, J., & Wang, S.* Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4757-4760, 2021.
18. Zheng, J., Wang, S.*, Housden, J., Hou, Z., Singh, D., & Rhode, K. A Safety Joint with Passive Compliant and Manual Override Mechanisms for Medical Robotics. In IEEE International Conference on Intelligence and Safety for Robotics, 1-4, 2021.
19. Housden, J., Wang, S.*, Bao, X., Zheng, J., Skelton, E., Matthew, J., Noh, Y., Eltirafi, O., Singh, A., Singh, D., & Rhode, K. Towards Standardized Acquisition with a Dual-probe Ultrasound Robot for Fetal Imaging. IEEE Robotics and Automation Letters, 6(2), 1059-1065, 2021. (Accepted by ICRA and presented)
20. Wang, S.*, Hou, X., Housden, J., Hou, Z., Singh, D., & Rhode, K. IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G, In International Workshop on Advances in Simplifying Medical UltraSound. Lecture Notes in Computer Science, 12437, 171-179, 2020.
21. Wang, S.*, Housden, J., Noh, Y., Singh, D., Singh, A., Skelton, E., ... & Rhode, K. Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System. In Annual Conference Towards Autonomous Robotic Systems Conference. Lecture Notes in Computer Science, 11650, 27-38, 2019.
22. Wang, S.*, Housden, R. J., Noh, Y., Singh, A., Lindenroth, L., Liu, H., Althoefer, K., Hajnal, J., Singh, D., & Rhode, K. Analysis of a Customized Clutch Joint Designed for the Safety Management of an Ultrasound Robot. Applied Sciences, 9(9), 1900, 2019.
23. Wang, S.*, Housden, J., Noh, Y., Singh, S., Back, J., Lindenroth, L., Liu, H., Hajnal, J., Althoefer, K., Singh, D., & Rhode, K. Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound. JoVE, 143, e58811, 2019.
24. Wang, S.*, Housden, J., Singh, D., & Rhode, K. Design and Implementation of a Low-cost Training System for Trans-Esophageal Ultrasound. Journal of Medical Imaging and Health Informatics, 8(7), 1532–1537, 2018.
25. Wang, S.*, Housden, J., Zar, A., Gandecha, R., Singh, D., & Rhode, K. Strategy for Monitoring Cardiac Interventions with an Intelligent Robotic Ultrasound Device. Micromachines, 9(2), 65, 2018.
26. Wang, S.*, Singh, D., Johnson, D., Althoefer, K., Rhode, K., & Housden, R. J. Robotic Ultrasound: View Planning, Tracking, and Automatic Acquisition of Trans-esophageal Echocardiography. IEEE Robotics & Automation Magazine, 23(4), 118-127, 2016.
27. Wang, S.*, Singh, D., Lau, D., Reddy, K., Althoefer, K., Rhode, K., & Housden, R. J. Probe Tracking and Its Application in Automatic Acquisition Using a Trans-Esophageal Ultrasound Robot. In International Workshop on Computer-Assisted and Robotic Endoscopy. Lecture Notes in Computer Science, 10170, 14-23, 2016.
28. Wang, S., Housden, J., Singh, D., Althoefer, K., & Rhode, K*. Design, Testing and Modelling of a Novel Robotic System for Trans-oesophageal Ultrasound. The International Journal of Medical Robotics and Computer Assisted Surgery, 12(3), 342-354, 2016.