基本信息
王双翌  男  硕导  中国科学院自动化研究所
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)基于串并联及柔性机构的内窥成像机器人、超声机器人、介入诊疗机器人、经自然腔道病理采样机器人的设计研发;2)机器人辅助诊疗过程中的追踪、导航与智能控制;3)医疗机器人远程遥操作和人机交互方法;4)基于光学及磁场等多种方式的的力传感器和位置传感器设计。

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

​王双翌,博士,中国科学院自动化研究所副研究员,中科院率先行动人才引进计划青年项目入选者。主要研究方向聚焦于医疗机器人设计及机器人辅助手术技术开发,为医护人员远离高风险环境,跨区域对接基层提供新方案。所研发心脏诊疗经食道超声机器人及导航系统被业内认可为首创性成果并曾向英王室安妮公主展示;所研发用于腹部超声的双手臂机器人于伦敦圣托马斯医院成功完成80例临床实测;所研发多用途便携式混联超声机器人成功参加卫勤演练并完成救护车当中的部署和远程遥操作扫描。近5年在IEEE RAM、IEEE RAL、IEEE TMRB、IEEE TBME、IEEE/CAA JAS、MICCAI、ICRA、IROS、EMBC等多个领域内高水平期刊和会议发表近30篇论文,作为英国Xtronics, Ltd.公司技术负责人开发了用于医疗样本及航空航天材料检测的高精度微型计算机断层扫描系统,其客户包括BAE Defence Systems、Airbus、Rolls Royce等头部企业,产生直接经济效益约£250,000-300,000。担任MICCAI-ASMUS、MIMTT、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,担任ASI、MNTD等期刊的热点方向顾问委员或专刊编委,兼任中国超声医学工程学会互联网医疗超声专委会常委及中国医药教育协会航天医学专业委员会常委。作为中国科学院大学人工智能学院责任教师承担了研究生课程《机器人机构学》及本科生课程《机器人学实践》的教学工作。当前受国家自然科学基金项目、中科院人工智能创新研究院2035团队项目、工信部-国家卫健委试点项目、科技委相关项目、InnoHK创新香港研发平台等多项重要支持,广泛开展新型医疗机器人的样机开发及关键技术研究。

教育及工作经历

2019-11至今, 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

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

代表性论著选摘

1. Wang, H.#, Wang, S.#, Rajamani, R.* Electromagnetic Angular Position Sensing Using High-Magnetic-Permeability Materials. IEEE Sensors Journal, 2022.

2. 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, 2022, 7(2), 2581-2588, 2022.

3. Tang, R., Zheng, J., Wang, S.* Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases. In 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE-EMBC), 4757-4760, 2021.

4. 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 (IEEE-DTPI), 230-233, 2021.

5. 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 (IEEE-ISR), 1-4, 2021.

6. 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.

7. Bao, X.*, Wang, S., Housden, J., Hajnal, J., Rhode, K. A Constant-force End-effector with Online Force Adjustment for Robotic Ultrasonography. IEEE Robotics and Automation Letters, 6(2), 2547-2554, 2021.

8. 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.

9. 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.

10. 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 Advances in Simplifying Medical UltraSound (ASMUS), 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science, 12437, 2020.

11. Wang, S.*, Noh, Y., Brown, J., Li, Y., Wang, S., Housden, R., Ester, M. C., Al-Hamadani, M., Rajani, R. & Rhode, K. Development and Testing of an Ultrasound-Compatible Cardiac Phantom for Interventional Procedure Simulation Using Direct 3D Printing. 3D Printing and Additive Manufacturing, 7(6), 269-278, 2020.

12. Wang, S.*, Housden, J., Noh, Y., Singh, D., Singh, A., Skelton, E., Matthew, J., Tan, C., Back, J., Lindenroth, L., Gomez, A., Toussaint, N., Zimmer, V., Knight, C., Fletcher, T., Lloyed, D., Simpson, J., Pasupathy, D., Liu, H., Althoefer, K., Hajnal, J., Razavi, R., & Rhode, K., Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System. In 20th Towards Autonomous Robotic Systems Conference (TAROS). Lecture Notes in Artificial Intelligence, 27-38, 2019.

13. Lindenroth, L., Housden, J., Wang, S., Back, J., Rhode, K., & Liu, H*. Design and integration of a parallel, soft robotic end-effector for extracorporeal ultrasound. IEEE Transactions on Biomedical Engineering, 67(8), 2215-229, 2019.

14. Noh, Y.*, Lindenroth, L., Wang, S., Housden, R. J., van Wingerden, A. S., Li, W., & Rhode, K. A 2-piece six-axis force/torque sensor capable of measuring loads applied to tools of complex shapes. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7976-7981, 2019.

15. 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. Journal of Visualized Experiments (JoVE), 143, e58811, 2019.

16. 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.

17. 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.

18. 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 3rd International Workshop on Computer-Assisted and Robotic Endoscopy, 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science, 10170, 14-23, 2016.

19. 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.

20. 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.