钟仿洵

助理教授

校长青年学者
教育背景

博士(香港中文大学 机械与自动化工程)

硕士(香港中文大学 机械与自动化工程)

学士(北京理工大学 自动化系)

研究领域
手术智能化与自主化;医疗机器人;机器人复杂环境运动与交互;基于学习的多维感知等
学术领域
人工智能与机器人,计算机工程
个人网站
电子邮件
fxzhong@cuhk.edu.cn
个人简介

钟仿洵,现任香港中文大学(深圳)理工学院助理教授,博士生导师(副研究员),香港中文大学深圳研究院客座副研究员。2021年获香港中文大学机械与自动化系博士学位,2014年获得北京理工大学自动化系学士学位。研究方向包括基于具身智能的自主化在医疗手术中的应用、机器人复杂环境灵巧控制与规划、医疗机器人、基于学习的三维感知与交互等,部分研究已成功开展临床试验。在机器人领域权威期刊及会议已发表论文30余篇,其中第一/通讯作者论文11篇,以第一作者在IJRRIEEE T-RO等国际机器人领域顶刊发表论文多篇,拥有美国发明专利与中国国家发明专利各授权1项,并承担国家重点研发计划等项目。担任IEEE T-ROIEEE T-MECHIEEE T-ASEIEEE RA-L等期刊审稿人,IEEE RCAR 2021、2024程序委员会成员,IEEE/RSJ IROS 2025组委会成员。现任中国机械工程协会医工装备分会委员,深圳市发展和改革委员会专家库成员。

学术著作

精选:

期刊论文(* 为独立通讯作者)

  1. B. Li, B. Lu, H. Lin, Y. Wang, F. Zhong*, Q. Dou, Y. Liu. “On the Monocular 3D Pose Estimation for Arbitrary Shaped Needle in Dynamic Scenes: An Efficient Visual Learning and Geometry Modeling Approach”, IEEE Transactions on Medical Robotics and Bionics, 6(2), 460 – 474, 2024.
  2. B. Li, Y. Lu, W. Chen, B. Lu, F. Zhong*, Q. Dou, Y. Liu. “GMM-based Heuristic Decision Framework for Safe Automated Laparoscope Control”, IEEE Robotics and Automation Letters, 9(2), 1969-1976, 2024.
  3. F. Zhong, B. Li, W. Chen, Y. Liu. “Robot-Camera Calibration in Tightly Constrained Environment Using Interactive Perception”, IEEE Transactions on Robotics, 39(6), 4952-4970, 2023.
  4. F. Zhong, Y. Liu. “Integrated Planning and Control of Robotic Surgical Instruments for Task Autonomy”. The International Journal of Robotics Research, 42(7):504-536, 2023.
  5. F. Zhong, Z. Wang, W. Chen, K. He, Y. Wang, Y. Liu. “Hand-Eye Calibration of Robotic Surgical Instrument for Autonomous Surgery Using Interactive Manipulation”, IEEE Robotics and Automation Letters, 2(3), 2020.
  6. F. Zhong, P. Li, J. Shi, Z. Wang, J. Wu, JYK. Chan, N. Leung, I. Leung, MCF. Tong, Y. Liu. “Foot-controlled Robot-Enable EnDOscope Manipulator (FREEDOM) for Sinus Surgery : Design, Control and Evaluation”, IEEE Transactions on Biomedical Engineering, 67(6), 1530-1541, 2020.
  7. F. Zhong, Y. Wang, Z. Wang, Y. Liu. “Dual-Arm Robotic Needle Insertion With Active Tissue Deformation for Autonomous Suturing”, IEEE Robotics and Automation Letters, 4(3), 2669-2676, 2019.
  8. B. Yang, C. Sui, F. Zhong, Y. Liu. “Modal-graph 3D shape servoing of deformable objects with raw point clouds”, The International Journal of Robotics Research 42 (14), 1213-1244, 2023.
  9. J. Wu, W. Chen, D. Guo, G. Ma, Z. Wang, Y. He, F. Zhong, B. Lu, Y. Wang, T. Cheung, Y. Liu. “Robot-Enabled Uterus Manipulator for Laparoscopic Hysterectomy With Soft RCM Constraints : Design, Control, and Evaluation”, IEEE Transactions on Medical Robotics and Bionics, 4(3), 656-666, 2023.
  10. B Yang, B Lu, W Chen, F. Zhong, Y. Liu. “Model-free 3-d shape control of deformable objects using novel features based on modal analysis”, IEEE Transactions on Robotics 39 (4), 3134-3153, 2023.
  11. W. Chen, J. Zhou, SS. Cheng, Y. Lu, F. Zhong, Y Gao, Y Wang, L Xue, MCF Tong, YH Liu. “Tele-operated oropharyngeal swab (TOOS) robot enabled by TSS soft hand for safe and effective sampling”, IEEE Transactions on Medical Robotics and Bionics 3(4), 1040-1053, 2021.
  12. A Ghalamzan, K Nazari, H Hashempour, F. Zhong. “Deep-LfD: Deep robot learning from demonstrations”, Software Impacts, 100087, 2021.
  13. F. Zhong, YH Liu. “Image-Based 3D Pose Reconstruction of Surgical Needle for Robot-Assisted Laparoscopic Suturing”, Chinese Journal of Electronics 27 (3), 476-482, 2018.

 

会议论文

  1. J. Guo, F. Zhong, R. Xiong, Y. Liu, Y. Wang, Y. Liao. “A visual navigation perspective for category-level object pose estimation”, European Conference on Computer Vision, 123-141, 2022.
  2. Z. Wang, B. Lu, Y. Long, F. Zhong, T.H. Cheung, Q. Dou, Y. Liu. “Autolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy”, International Conference on Medical Image Computing and Computer-Assisted Intervention, 486-496, 2022.
  3. F. Zhong, D. Navarro-Alarcon, Z. Wang, Y. Liu, T. Zhang, H.M. Yip, H. Wang. “Adaptive 3d pose computation of suturing needle using constraints from static monocular image feedback”, IEEE/RSJ International Conference on Intelligent Robots and Systems, 5521-5526, 2016.
  4. D. Navarro-Alarcon, Z. Wang, H.M. Yip, Y. Liu, F. Zhong, T. Zhang, J. Shi, H. Wang, “Robust image-based computation of the 3d position of rcm instruments and its application to image-guided manipulation”, IEEE International Conference on Robotics and Automation (ICRA), 4115-4121, 2016.

 

专利

  1. 钟仿洵,刘云辉。“一种机械臂自主手眼标定算法”,ZL202310062493.0, 2023.
  2. Y Liu, C. F. Tong, F. Zhong, Z Wang, H.M. Yip. ”Endoscope Manipulator and Method for Controlling the Same”, U.S.Patent. 16/533,866, 2020.