图学学报 ›› 2026, Vol. 47 ›› Issue (2): 251-263.DOI: 10.11996/JG.j.2095-302X.2026020251
王一芮, 华馨怡, 汤天宇, 王奕霖, 闫祉祺, 耿子涵, 陈星宇, 杨建明, 孙博文(
)
收稿日期:2025-05-22
接受日期:2025-10-29
出版日期:2026-04-30
发布日期:2026-05-20
通讯作者:孙博文,E-mail:sunbowen@bit.edu.cn基金资助:
WANG Yirui, HUA Xinyi, TANG Tianyu, WANG Yilin, YAN Zhiqi, GENG Zihan, CHEN Xingyu, YANG Jianming, SUN Bowen(
)
Received:2025-05-22
Accepted:2025-10-29
Published:2026-04-30
Online:2026-05-20
Contact:
SUN Bowen,E-mail:sunbowen@bit.edu.cnSupported by:摘要:
针对手术机器人在人机交互设计领域的发展现状,开展了系统的比较与可视化研究。基于Web of Science和CNKI数据库,检索手术机器人交互设计相关文献,运用文献计量分析法与内容分析法,结合VOSviewer和CiteSpace的可视化功能,绘制知识图谱,从合作网络分布、研究热点主题和时区演化3个维度揭示手术机器人交互设计领域的研究格局与发展趋势。结果表明,国外手术机器人交互设计研究起步较早,各研究机构之间联系紧密,研究内容精细化,更关注技术驱动研发;相比之下,国内该领域研究起步较晚,研究机构之间互动相对较少,且研究内容较分散,侧重于理论研究和用户体验。研究指出,未来应强化跨学科协同创新,融合智能语音识别、高精度视觉与触觉数字化、运动轨迹智能规划、机器学习与大数据建模等前沿技术,以推动手术机器人交互设计的智能化、精确化与人性化发展。
中图分类号:
王一芮, 华馨怡, 汤天宇, 王奕霖, 闫祉祺, 耿子涵, 陈星宇, 杨建明, 孙博文. 基于CiteSpace的国内外手术机器人交互设计分析比较研究[J]. 图学学报, 2026, 47(2): 251-263.
WANG Yirui, HUA Xinyi, TANG Tianyu, WANG Yilin, YAN Zhiqi, GENG Zihan, CHEN Xingyu, YANG Jianming, SUN Bowen. A comparative analysis of domestic and international research on surgical robot interaction design using CiteSpace[J]. Journal of Graphics, 2026, 47(2): 251-263.
| 序号 | 国家 | 论文总数/篇 | 核心机构 |
|---|---|---|---|
| 1 | 美国 | 77 | 约翰斯·霍普金斯大学、哈佛大学医学院、普渡大学、内布拉斯加大学、斯坦福大学、华盛顿大学 |
| 2 | 中国 | 72 | 哈尔滨工业大学、中国科学院、上海交通大学、北京理工大学 |
| 3 | 意大利 | 30 | 米兰理工大学、比萨圣安娜大学、意大利技术研究院、比萨大学、佛罗伦萨大学 |
| 4 | 德国 | 24 | 慕尼黑工业大学、汉堡大学、德国宇航中心、弗朗霍夫海因里希赫兹研究所、德国人工智能研究中心 |
| 5 | 英国 | 17 | 伦敦大学学院、帝国理工学院、伦敦国王学院、伦敦玛丽女王大学、利兹大学 |
| 6 | 加拿大 | 15 | 不列颠哥伦比亚大学、阿尔伯塔大学、卡尔加里大学、西安大略大学、加拿大外科技术及先进机器人中心 |
| 7 | 日本 | 14 | 香川大学、庆应义塾大学、早稻田大学、国立千葉大学、神户大学 |
| 8 | 新加坡 | 12 | 新加坡国立大学、南洋理工大学、新加坡科技研究局、新加坡科技研究局高性能计算研究院、新加坡信息通信研究院 |
| 9 | 西班牙 | 9 | 马拉加大学、加泰罗尼亚理工大学、巴塞罗那自治大学、生物医学研究网络-生物工程、生物材料和纳米医学中心、加泰罗尼亚生物工程研究所 |
| 10 | 法国 | 7 | 国立巴黎高等矿业学院、西部癌症研究所、索邦大学、法国国家科学研究中心、巴黎第六大学 |
表1 排名前10名的手术机器人交互设计研究主要力量
Table 1 Top 10 leading contributors in surgical robot interaction design research
| 序号 | 国家 | 论文总数/篇 | 核心机构 |
|---|---|---|---|
| 1 | 美国 | 77 | 约翰斯·霍普金斯大学、哈佛大学医学院、普渡大学、内布拉斯加大学、斯坦福大学、华盛顿大学 |
| 2 | 中国 | 72 | 哈尔滨工业大学、中国科学院、上海交通大学、北京理工大学 |
| 3 | 意大利 | 30 | 米兰理工大学、比萨圣安娜大学、意大利技术研究院、比萨大学、佛罗伦萨大学 |
| 4 | 德国 | 24 | 慕尼黑工业大学、汉堡大学、德国宇航中心、弗朗霍夫海因里希赫兹研究所、德国人工智能研究中心 |
| 5 | 英国 | 17 | 伦敦大学学院、帝国理工学院、伦敦国王学院、伦敦玛丽女王大学、利兹大学 |
| 6 | 加拿大 | 15 | 不列颠哥伦比亚大学、阿尔伯塔大学、卡尔加里大学、西安大略大学、加拿大外科技术及先进机器人中心 |
| 7 | 日本 | 14 | 香川大学、庆应义塾大学、早稻田大学、国立千葉大学、神户大学 |
| 8 | 新加坡 | 12 | 新加坡国立大学、南洋理工大学、新加坡科技研究局、新加坡科技研究局高性能计算研究院、新加坡信息通信研究院 |
| 9 | 西班牙 | 9 | 马拉加大学、加泰罗尼亚理工大学、巴塞罗那自治大学、生物医学研究网络-生物工程、生物材料和纳米医学中心、加泰罗尼亚生物工程研究所 |
| 10 | 法国 | 7 | 国立巴黎高等矿业学院、西部癌症研究所、索邦大学、法国国家科学研究中心、巴黎第六大学 |
| 关键词 | 频次 | 总关联强度 |
|---|---|---|
| Design | 57 | 243 |
| Surgical robotics | 29 | 120 |
| System | 27 | 128 |
| Minimally invasive surgery | 25 | 125 |
| Robot | 19 | 70 |
| Human-robot interaction | 16 | 60 |
| Feedback | 15 | 71 |
| Force control | 15 | 70 |
| Robotic surgery | 14 | 54 |
| Haptic feedback | 12 | 68 |
表2 国外手术机器人交互设计高频关键词统计表
Table 2 Table of high-frequency keywords in foreign research on surgical robot interaction design
| 关键词 | 频次 | 总关联强度 |
|---|---|---|
| Design | 57 | 243 |
| Surgical robotics | 29 | 120 |
| System | 27 | 128 |
| Minimally invasive surgery | 25 | 125 |
| Robot | 19 | 70 |
| Human-robot interaction | 16 | 60 |
| Feedback | 15 | 71 |
| Force control | 15 | 70 |
| Robotic surgery | 14 | 54 |
| Haptic feedback | 12 | 68 |
| 关键词 | 频次 | 总关联强度 |
|---|---|---|
| 人机交互 | 20 | 46 |
| 虚拟现实 | 12 | 23 |
| 人工智能 | 8 | 17 |
| 用户体验 | 8 | 16 |
| 服务机器人 | 7 | 14 |
| 交互设计 | 6 | 7 |
| 力反馈 | 6 | 17 |
| 服务设计 | 6 | 8 |
| 碰撞检测 | 6 | 18 |
| 产品设计 | 5 | 9 |
表3 国内手术机器人交互设计高频关键词统计表
Table 3 Table of high-frequency keywords in domestic research on surgical robot interaction design
| 关键词 | 频次 | 总关联强度 |
|---|---|---|
| 人机交互 | 20 | 46 |
| 虚拟现实 | 12 | 23 |
| 人工智能 | 8 | 17 |
| 用户体验 | 8 | 16 |
| 服务机器人 | 7 | 14 |
| 交互设计 | 6 | 7 |
| 力反馈 | 6 | 17 |
| 服务设计 | 6 | 8 |
| 碰撞检测 | 6 | 18 |
| 产品设计 | 5 | 9 |
图10 基于时区图谱的国内外手术机器人交互设计演化路径分析图
Fig. 10 Evolution path analysis of domestic and foreign surgical robot interaction design based on timeline visualization
| [1] |
LIU X, IORDACHITA I I, HE X C, et al. Miniature fiber-optic force sensor based on low-coherence Fabry-Pérot interferometry for vitreoretinal microsurgery[J]. Biomedical Optics Express, 2012, 3(5): 1062-1076.
DOI PMID |
| [2] |
LI P, HOU X B, DUAN X G, et al. Appearance-based gaze estimator for natural interaction control of surgical robots[J]. IEEE Access, 2019, 7: 25095-25110.
DOI URL |
| [3] | ABIDI H, GERBONI G, BRANCADORO M, et al. Highly dexterous 2-module soft robot for intra-organ navigation in minimally invasive surgery[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2018, 14(1): e1875. |
| [4] |
DU Z J, LIANG Y L, YAN Z Y, et al. Human-robot interaction control of a haptic master manipulator used in laparoscopic minimally invasive surgical robot system[J]. Mechanism and Machine Theory, 2021, 156: 104132.
DOI URL |
| [5] |
LONG Y H, WEI W, HUANG T, et al. Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning[J]. IEEE Robotics and Automation Letters, 2023, 8(8): 4441-4448.
DOI URL |
| [6] |
ERSHAD M, REGE R, FEY A M. Automatic and near real-time stylistic behavior assessment in robotic surgery[J]. International Journal of Computer Assisted Radiology and Surgery, 2019, 14(4): 635-643.
DOI PMID |
| [7] |
MOCCIA S, FOTI S, ROUTRAY A, et al. Toward improving safety in neurosurgery with an active handheld instrument[J]. Annals of Biomedical Engineering, 2018, 46(10): 1450-1464.
DOI PMID |
| [8] |
SUN Y, JIANG Z L, QI X Z, et al. Robot-assisted decompressive laminectomy planning based on 3D medical image[J]. IEEE Access, 2018, 6: 22557-22569.
DOI URL |
| [9] |
YIN X C, GUO S X, SONG Y. Magnetorheological fluids actuated haptic-based teleoperated catheter operating system[J]. Micromachines, 2018, 9(9): 465.
DOI URL |
| [10] |
GONENC B, CHAE J, GEHLBACH P, et al. Towards robot-assisted retinal vein cannulation: a motorized force-sensing microneedle integrated with a handheld micromanipulator[J]. Sensors, 2017, 17(10): 2195.
DOI URL |
| [11] |
QI W, OVUR S E, LI Z J, et al. Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network[J]. IEEE Robotics and Automation Letters, 2021, 6(3): 6039-6045.
DOI URL |
| [12] | POON C C Y, LEUNG E Y Y, LAU K C, et al. A novel user-specific wearable controller for surgical robots[C]//The 4th International Conference on Design, User Experience, and Usability:Interactive Experience Design. Cham: Springer, 2015: 693-701. |
| [13] |
SU H, QI W, SCHMIRANDER Y, et al. A human activity-aware shared control solution for medical human-robot interaction[J]. Assembly Automation, 2022, 42(3): 388-394.
DOI URL |
| [14] | BARRESI G, OLIVIERI E, CALDWELL D G, et al. Brain-controlled AR feedback design for user’s training in surgical HRI[C]// 2015 IEEE International Conference on Systems, Man, and Cybernetics. New York: IEEE Press, 2015: 1116-1121. |
| [15] | 孔康. 一体式微创外科手术机器人机构设计及研究[D]. 天津: 天津大学, 2012. |
| KONG K. Mechanism design and research of an integrated minimally invasive surgical robot[D]. Tianjin: Tianjin University, 2012 (in Chinese). | |
| [16] | 刘生辉. 采用压电惯性驱动的二自由度穿刺针及其运动控制研究[D]. 哈尔滨: 哈尔滨工业大学, 2020. |
| LIU S H. A 2-DOF insertion needle using inertia piezoelectric actuator and motion control[D]. Harbin: Harbin Institute of Technology, 2020 (in Chinese). | |
| [17] | 李博维. 手部力反馈装置及系统研究[D]. 南京: 东南大学, 2016. |
| LI B W. Research of hand force feedback device and system[D]. Nanjing: Southeast University, 2016 (in Chinese). | |
| [18] |
LLOYD P, ONAIZAH O, PITTIGLIO G, et al. Magnetic soft continuum robots with braided reinforcement[J]. IEEE Robotics and Automation Letters, 2022, 7(4): 9770-9777.
DOI URL |
| [19] | WEBSTER R J, OKAMURA A M, COWAN N J. Toward active cannulas: miniature snake-like surgical robots[C]// 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. New York: IEEE Press, 2006: 2857-2863. |
| [20] |
HUAN Y, TAMADON I, SCATENA C, et al. Soft graspers for safe and effective tissue clutching in minimally invasive surgery[J]. IEEE Transactions on Biomedical Engineering, 2021, 68(1): 56-67.
DOI URL |
| [21] | GIFARI M W, NAGHIBI H, STRAMIGIOLI S, et al. A review on recent advances in soft surgical robots for endoscopic applications[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2019, 15(5): e2010. |
| [22] | CHINZEI K, KIKINIS R, JOLESZ F A. MR compatibility of mechatronic devices: design criteria[C]// The 2nd International Conference on Medical Image Computing and Computer- Assisted Intervention - MICCAI’99. Cham: Springer, 1999: 1020-1030. |
| [23] |
ZHANG X D, LIU H C, WANG Y C, et al. FBG-based three-dimensional micro-force sensor with axial force sensitivity-enhancing and temperature compensation for micro-forceps[J]. Optics Express, 2023, 31(24): 40538-40556.
DOI PMID |
| [24] | AUBEELUCK D A, FORBRIGGER C, TAROMSARI S M, et al. Screen-printed resistive tactile sensor for monitoring tissue interaction forces on a surgical magnetic microgripper[J]. ACS Applied Materials & Interfaces, 2023, 15(28): 34008-34022. |
| [25] |
SAINI S, ORLANDO M F, PATHAK P M. Adaptive control of a master-slave based robotic surgical system with haptic feedback[J]. IEEE Transactions on Automation Science and Engineering, 2023, 20(2): 1125-1138.
DOI URL |
| [26] |
LOSEY D P, MCDONALD C G, BATTAGLIA E, et al. A review of intent detection, arbitration, and communication aspects of shared control for physical human-robot interaction[J]. Applied Mechanics Reviews, 2018, 70(1): 010804.
DOI URL |
| [27] |
SHI H, ZHANG B Y, MEI X S, et al. Realization of force detection and feedback control for slave manipulator of master/slave surgical robot[J]. Sensors, 2021, 21(22): 7489.
DOI URL |
| [28] |
LI L, LI X J, DING S, et al. SIRNet: fine-grained surgical interaction recognition[J]. IEEE Robotics and Automation Letters, 2022, 7(2): 4212-4219.
DOI URL |
| [29] | FORTE M P, GOURISHETTI R, JAVOT B, et al. Design of interactive augmented reality functions for robotic surgery and evaluation in dry-lab lymphadenectomy[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2022, 18(2): e2351. |
| [30] |
SHI C Y, LUO X B, QI P, et al. Shape sensing techniques for continuum robots in minimally invasive surgery: a survey[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(8): 1665-1678.
DOI URL |
| [31] |
PITTIGLIO G, LLOYD P, DA VEIGA T, et al. Patient-specific magnetic catheters for atraumatic autonomous endoscopy[J]. Soft Robotics, 2022, 9(6): 1120-1133.
DOI PMID |
| [32] |
MIURA S, OHTA R, CAO Y, et al. Using operator gaze tracking to design wrist mechanism for surgical robots[J]. IEEE Transactions on Human-Machine Systems, 2021, 51(4): 376-383.
DOI URL |
| [33] |
LEE H C, PACHECO N E, FICHERA L, et al. When the end effector is a laser: a review of robotics in laser surgery[J]. Advanced Intelligent Systems, 2022, 4(10): 2200130.
DOI URL |
| [34] |
MAO L Y, YANG P, TIAN C Y, et al. Magnetic steering continuum robot for transluminal procedures with programmable shape and functionalities[J]. Nature Communications, 2024, 15(1): 3759.
DOI PMID |
| [35] |
CUI Z Q, YU Y K, WANG H X. Recent developments in impedance-based tactile sensors: a review[J]. IEEE Sensors Journal, 2024, 24(3): 2350-2366.
DOI URL |
| [36] |
JIANG S, LI P, YU Y, et al. Experimental study of needle-tissue interaction forces: effect of needle geometries, insertion methods and tissue characteristics[J]. Journal of Biomechanics, 2014, 47(13): 3344-3353.
DOI PMID |
| [37] |
MAALOUF N, SIDAOUI A, ELHAJJ I H, et al. Robotics in nursing: a scoping review[J]. Journal of Nursing Scholarship, 2018, 50(6): 590-600.
DOI PMID |
| [38] |
VAN LEWEN D, JANKE T, LEE H, et al. A millimeter-scale soft robot for tissue biopsy procedures[J]. Advanced Intelligent Systems, 2023, 5(5): 2200326.
DOI URL |
| [39] |
SCHLENK C, HAGMANN K, STEIDLE F, et al. A robotic system for solo surgery in flexible ureteroscopy: development and evaluation with clinical users[J]. International Journal of Computer Assisted Radiology and Surgery, 2023, 18(9): 1559-1569.
DOI PMID |
| [40] |
BRAVI C A, ROSIELLO G, MAZZONE E, et al. The IRON study: investigation of robot-assisted versus open nephron-sparing surgery[J]. European Urology Open Science, 2023, 49: 71-77.
DOI PMID |
| [41] |
YEN P L, HO T H. Shared control for a handheld orthopedic surgical robot[J]. IEEE Robotics and Automation Letters, 2021, 6(4): 8394-8400.
DOI URL |
| [42] | 赵浩, 李林, 刘宏. 智能机器人PengPeng Ⅱ的系统集成与性能测试[J]. 华中科技大学学报(自然科学版), 2011, 39(S2): 81-84. |
| ZHAO H, LI L, LIU H. System integration and performance testing of the intelligent robot PengPeng II[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2011, 39(S2): 81-84 (in Chinese). | |
| [43] | 王时惠, 吕佳辉, 张军, 等. ICU患者温控人机智能协同系统设计研究[J]. 湖南大学学报(社会科学版), 2022, 36(5): 156-160. |
| WANG S H, LV J H, ZHANG J, et al. ICU patient temperature control human-intelligent collaboration system design research[J]. Journal of Hunan University (Social Sciences), 2022, 36(5): 156-160 (in Chinese). | |
| [44] | 李敏, 于佳慧, 张鑫磊, 等. 面向人机协作的新型交互方式应用研究[J]. 人类工效学, 2022, 28(5): 19-24. |
| LI M, YU J H, ZHANG X L, et al. New human-machine interaction applications for human-machine collaboration[J]. Chinese Journal of Ergonomics, 2022, 28(5): 19-24 (in Chinese). | |
| [45] | 朱振中, 郑国焱, 张长青. 机器人辅助技术在创伤骨科的发展与临床应用[J]. 中国修复重建外科杂志, 2022, 36(8): 915-922. |
| ZHU Z Z, ZHENG G Y, ZHANG C Q. Development and clinical application of robot-assisted technology in traumatic orthopedics[J]. Chinese Journal of Reparative and Reconstructive Surgery, 2022, 36(8): 915-922 (in Chinese). | |
| [46] | 梁艺, 汪步云, 陈友东, 等. 前列腺靶向放疗机器人系统设计及实验研究[J]. 华中科技大学学报(自然科学版), 2020, 48(12): 13-19. |
| LIANG Y, WANG B Y, CHEN Y D, et al. Design and experimental study of robot system for prostate brachytherapy[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2020, 48(12): 13-19 (in Chinese). | |
| [47] | 谷文慧, 周橙旻. 服务设计视角下老年诊疗流程优化设计[J]. 家具, 2022, 43(4): 78-83. |
| GU W H, ZHOU C M. Optimum design of treatment process for the elderly based on service design[J]. Furniture, 2022, 43(4): 78-83 (in Chinese). | |
| [48] | 钱英, 孙小磊. 人工智能与大数据在临床工程中的应用与挑战[J]. 华西医学, 2019, 34(6): 607-611. |
| QIAN Y, SUN X L. The application and challenge of artificial intelligence and big data in clinical engineering[J]. West China Medical Journal, 2019, 34(6): 607-611 (in Chinese). | |
| [49] | 陈鹤, 陆晓和. 人工智能时代下眼科诊疗的变革——以早产儿视网膜病变为例[J]. 医学与哲学, 2018, 39(10B): 53-58. |
| CHEN H, LU X H. Artificial intelligence causes a revolution in ophthalmology: retinopathy of prematurity as an example[J]. Medicine & Philosophy, 2018, 39(10B): 53-58 (in Chinese). | |
| [50] | 彭琼. 人性化设计指导下的家用机器人设计探讨[J]. 艺术与设计(理论), 2009(2): 151-153. |
| PENG Q. The discussion of household robot design under the instruction of user friendly design[J]. Art and Design, 2009(2): 151-153 (in Chinese). | |
| [51] | 邵彩萍, 胡北. 5G+智慧医疗服务平台的交互设计与具体产品应用研究[J]. 湖北工程学院学报, 2022, 42(2): 96-104. |
| SHAO C P, HU B. Research on interaction design of 5G+ smart medical service platform and application of specific products[J]. Journal of Hubei Engineering University, 2022, 42(2): 96-104 (in Chinese). | |
| [52] | 郭博文, 秦华, 王丽, 等. 基于椎板减压手术机器人的信息交互界面评价[J]. 科学技术与工程, 2024, 24(15): 6217-6224. |
| GUO B W, QIN H, WANG L, et al. Evaluation of information interaction interface based on vertebral plate decompression surgical robot[J]. Science Technology and Engineering, 2024, 24(15): 6217-6224 (in Chinese). | |
| [53] | 夏甫开提·阿力甫, 周京涛, 努尔比亚吾素因, 等. 基于边缘计算的医疗资源配置重构优化模型构建[J]. 中国医学物理学杂志, 2022, 39(11): 1407-1411. |
| ALIFU X, ZHOU J T, NUERBIYAWUSUYIN, et al. Reconfiguration and optimization model for medical resource allocation based on edge computing[J]. Chinese Journal of Medical Physics, 2022, 39(11): 1407-1411 (in Chinese). | |
| [54] | 李晓玲, 刘子荧, 莫泽宇, 等. 医疗装备产品研发中的人机交互和创新设计[J]. 包装工程, 2023, 44(20): 65-76. |
| LI X L, LIU Z Y, MO Z Y, et al. Human-computer interaction and innovative design in the development of medical equipment products[J]. Packaging Engineering, 2023, 44(20): 65-76 (in Chinese). | |
| [55] | 郑祎峰, 王佳春, 王谨, 等. 基于人机交互技术的工业产品数字化系统分析评测[J]. 现代电子技术, 2021, 44(13): 182-186. |
| ZHENG Y F, WANG J C, WANG J, et al. Analysis and evaluation of industrial product digital system based on man-machine interaction technology[J]. Modern Electronics Technique, 2021, 44(13): 182-186 (in Chinese). | |
| [56] | 张玉兰, 杜羽. 多自由度包装机器人人机交互控制方法[J]. 包装工程, 2021, 42(15): 239-244. |
| ZHANG Y L, DU Y. Human-computer interaction control method for multi-degree of freedom packaging robot[J]. Packaging Engineering, 2021, 42(15): 239-244 (in Chinese). | |
| [57] |
师国伟, 王中天, 王聪, 等. 辅助穿刺机器人临床操作人因分析及优化研究[J]. 空军航空医学, 2023, 40(1): 79-81.
DOI |
| SHI G W, WANG Z T, WANG C, et al. Human factors analysis and optimization of clinical operation of an assistive puncture robot[J]. Aviation Medicine of Air Force, 2023, 40(1): 79-81 (in Chinese). | |
| [58] | 代煜, 张建勋, 雪原. 基于小波变换的脊柱振动特征分析[J]. 中国生物医学工程学报, 2012, 31(3): 461-465. |
| DAI Y, ZHANG J X, XUE Y. Vibration feature analysis for spine using wavelet transform[J]. Chinese Journal of Biomedical Engineering, 2012, 31(3): 461-465 (in Chinese). | |
| [59] | 孟繁森, 辛绍杰, 桑成松. 微创机器人手术器械研究进展[J]. 上海电机学院学报, 2020, 23(2): 76-86, 92. |
| MENG F S, XIN S J, SANG C S. Research progress of surgical instruments for minimally invasive robotic surgery[J]. Journal of Shanghai Dianji University, 2020, 23(2): 76-86, 92 (in Chinese). | |
| [60] | 左美云, 沈原燕杭, 刘妃. 智慧健康养老领域接入元宇宙的方式与问题研究[J]. 科技智囊, 2023(1): 55-65. |
| ZUO M Y, SHEN Y Y H, LIU F. Study on the ways of accessing the metaverse and its existing problems in the field of smart healthy and senior care[J]. Think Tank of Science & Technology, 2023(1): 55-65 (in Chinese). | |
| [61] | WAGNER A. Recursive design of dependable robot systems for safety-critical applications[M]//RODIĆ A, PISLA D, BLEULER H. New Trends in Medical and Service Robots: Challenges and Solutions. Cham: Springer, 2014: 209-226. |
| [62] | RAFII-TARI H, PAYNE C J, LIU J D, et al. Towards automated surgical skill evaluation of endovascular catheterization tasks based on force and motion signatures[C]// 2015 IEEE International Conference on Robotics and Automation. New York: IEEE Press, 2015: 1789-1794. |
| [63] |
MORIMOTO A K, FORAL R D, KUHLMAN J L, et al. Force sensor for laparoscopic babcock[J]. Studies in Health Technology and Informatics, 1997, 39: 354-361.
PMID |
| [64] | TAVAKOLI M, PATEL R V, MOALLEM M. Bilateral control of a teleoperator for soft tissue palpation: design and experiments[C]// 2006 IEEE International Conference on Robotics and Automation. New York: IEEE Press, 2006: 3280-3285. |
| [65] |
NGUYEN Q C, KIM Y, KWON H. Optimization of layout and path planning of surgical robotic system[J]. International Journal of Control, Automation and Systems, 2017, 15(1): 375-384.
DOI URL |
| [66] |
YOON S M, KIM W J, LEE M C. Design of bilateral control for force feedback in surgical robot[J]. International Journal of Control, Automation and Systems, 2015, 13(4): 916-925.
DOI URL |
| [67] |
SHENG Y B, CHENG H Y, WANG Y W, et al. Teleoperated surgical robot with adaptive interactive control architecture for tissue identification[J]. Bioengineering, 2023, 10(10): 1157.
DOI URL |
| [68] | 王党校, 张玉茹, 王永光, 等. 机器人辅助内镜手术系统的设计与开发[J]. 机器人, 2002, 24(4): 335-341. |
| WANG D X, ZHANG Y R, WANG Y G, et al. Design and development of robot-assisted endoscope surgery system[J]. Robot, 2002, 24(4): 335-341 (in Chinese). | |
| [69] | 张忠林, 陈以, 俞益. 穿刺手术机器人遥操作系统的控制策略研究[J]. 微型机与应用, 2014, 33(12): 73-75. |
| ZHANG Z L, CHEN Y, YU Y. Control strategy research of puncture surgery robotic teleoperation system[J]. Microcomputer & Its Applications, 2014, 33(12): 73-75 (in Chinese). | |
| [70] | 奉振球, 侯增广, 边桂彬, 等. 微创血管介入手术机器人的主从交互控制方法与实现[J]. 自动化学报, 2016, 42(5): 696-705. |
| FENG Z Q, HOU Z G, BIAN G B, et al. Master-slave interactive control and implementation for minimally invasive vascular interventional robots[J]. Acta Automatica Sinica, 2016, 42(5): 696-705 (in Chinese). | |
| [71] | 李璧江, 张学军, 韦涛, 等. 基于虚拟现实的腹部手术仿真系统研究[J]. 医疗卫生装备, 2020, 41(8): 19-24, 44. |
| LI B J, ZHANG X J, WEI T, et al. Research on virtual simulation system of abdominal surgery[J]. Chinese Medical Equipment Journal, 2020, 41(8): 19-24, 44 (in Chinese). | |
| [72] | 黄旭华, 徐金明, 王新, 等. 智能化胸外科专科专病机器人的研发与前景[J]. 中国胸心血管外科临床杂志, 2022, 29(9): 1210-1216. |
| HUANG X H, XU J M, WANG X, et al. Development and prospect of intelligent specialized disease-specific robots for thoracic surgery[J]. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2022, 29(9): 1210-1216 (in Chinese). | |
| [73] | 付一凡, 翁桂湖, 曹喆, 等. 人工智能在胰腺癌诊疗中的应用[J]. 协和医学杂志, 2024, 15(4): 747-750. |
| FU Y F, WENG G H, CAO Z, et al. Application of artificial intelligence in the diagnosis and treatment of pancreatic cancer[J]. Medical Journal of Peking Union Medical College Hospital, 2024, 15(4): 747-750 (in Chinese). | |
| [74] |
韩晓光, 朱小龙, 姜宇桢, 等. 人工智能与机器人辅助医学发展研究[J]. 中国工程科学, 2023, 25(5): 43-54.
DOI |
|
HAN X G, ZHU X L, JIANG Y Z, et al. Development strategies for artificial intelligence and robotics in medicine[J]. Strategic Study of CAE, 2023, 25(5): 43-54 (in Chinese).
DOI |
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