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、智能超声系统、机器人辅助手术、介入手术导航、电脑辅助植介入体设计

研究内容:1)介入内窥成像机器人、经自然腔道病理采样机器人、便携式超声机器人等系统的设计研发;2)机器人辅助手术中的追踪与导航,基于Unity、PLUS、3D Slicer、CoppeliaSim等平台的系统构建;3)基于物联网及5G通讯下的医疗机器人远程控制和人机交互;4)基于Solidworks、Ansys等软件的植介入体及力传感器设计。

招生信息

长期招收机械工程、电气及自动化、计算机技术、生物医学工程等背景硕士生、实习生、客座学生及项目聘用工程师,真诚欢迎感兴趣的同学及相关人士咨询,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。

科研经历

王双翌,中国科学院自动化研究所副研究员,硕士生导师。2016年于伦敦国王学院生物医学工程与影像学院获博士学位,其后继续在该学院位于伦敦圣托马斯医院的研究中心从事博士后研究,2019年获中国科学院人才专项支持。在英期间,参与由英国惠康基金会、英国工程和自然科学研究委员会、英国国家医疗研究院所资助的多个项目,主导设计制造了世界首例经食管超声机器人及胎儿早期检测机器人并通过部分样机实现超过80例临床志愿者测试。近5年内完成四台原创机器人样机的研发,代表成果在如IEEE RA Magazine、IEEE RA Letters、IEEE T-BME、IEEE T-MRB、MICCAI、IROS、ICRA、TAROS等多个顶级期刊及国际会议发表,所研发机器人系统入选Innovate UK英国年度创新展并曾向英国王室代表团展示。此外,长期作为英国Xtronics, Ltd.公司主要负责人主导了线扫描高精度Micro-CT产品研发和测试。当前受中科院院级人才项目、中科院人工智能创新研究院2035专项、国家自然科学基金、工信部-卫健委试点平台等支持,广泛开展医疗设备自动化及遥操作智能超声机器人系统设计等方向的研究。当前同时于中国科学院大学人工智能学院承担研究生课程《机器人机构学》及《文献阅读》的教学工作。

工作简历
2019-11~现在, 中国科学院自动化研究所, 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、助理研究员
教育简历

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

研究案例

1. 用于心脏诊疗的经食道超声机器人及智能规划导航系统:

  

2. 多脏器智能超声诊断机器人系统及半自动标准化扫描方案:

  

3. 遥操作上呼吸道鼻拭子检测机器人及力感知与约束方法:

近期发表文章

Journal Papers:

1. 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.

2. 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.

3. Housden, J., Wang, S.*, Bao, X., Zheng, J., Skelton, E., Matthew, J., Noh, Y., Eltirafi, O., Singh, A., Singh, D., Rhode, K. Towards Standardization Acquisition with a Dual-probe Ultrasound Robot for Fetal Imaging. IEEE Robotics and Automation Letters, 6(2), 1059-1065, 2021.

4. Wang, S.*, Wang, K.Tang, R., Qiao, J., Liu, H., Zeng, H. Design of a Low-cost Miniature Robot to Assist COVID-19 Nasalpharyngeal Swab Sampling. IEEE Transactions on Medical Robotics and Bionics, 3(1), 289-293, 2021.

5. Wang, S.*, Noh, Y., Brown, J., Li, Y., Wang, S., Housden, R., Ester, M. C., ... , & 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. 

6. 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), 2215-2292019.

7. 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. (https://www.jove.com/video/58811)

9. 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.

9. 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.

10. 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.

11. 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.

Chapters and Conference Papers:

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

2. Deng, Z., Hou, X., Wang, S.* 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), 2021.

3. 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), 2021.

4. 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, 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.

5. 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), 2019.

6. 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. 

Wang, S.*, Zar, A., Gandecha, R., Singh, D., Housden, R., & Rhode, K. Towards the use of a robotic 3-D trans-esophageal ultrasound system for monitoring cardiac interventions: study of the workflow. 7th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS), 2017.

8. 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.

9. Karim, R.*, Ataollahi, A.,Wang, S., Back, J., Liu, H., Razavi, R., Althoefer, K., Schaeffter, T., & Rhode, K. Robotic image-guidance of an MR-compatible catheter for left atrium ablation with flattened maps for procedure planning. The Hamlyn Symposium on Medical Robotics, 2014.

10. Wang, S.*, Housden, R. J., Singh, D., Althoefer, K. A., & Rhode, K. Development of a robotic trans-esophageal ultrasound probe manipulator. Design of Medical Device Conference Europe (DMD-EU), 2014.