Journal of Central South University

, Volume 22, Issue 12, pp 4566–4577 | Cite as

Miniature 6-axis force/torque sensor for force feedback in robot-assisted minimally invasive surgery

  • Kun Li (李坤)
  • Bo Pan (潘博)
  • Wen-peng Gao (高文朋)
  • Hai-bo Feng (封海波)
  • Yi-li Fu (付宜利)
  • Shu-guo Wang (王树国)
Article

Abstract

In order to restore force sensation to robot-assisted minimally invasive surgery (RMIS), design and performance evaluation of a miniature 6-axis force/torque sensor for force feedback is presented. Based on the resistive sensing method, a flexural-hinged Stewart platform is designed as the flexible structure, and a straightforward optimization method considering the force and sensitivity isotropy of the sensor is proposed to determine geometric parameters which are best suited for the given external loads. The accuracy of this method is preliminarily discussed by finite element methods (FEMs). The sensor prototype is fabricated with the development of the electronic system. Calibration and dynamic loading tests for this sensor prototype are carried out. The working ranges of this sensor prototype are 30 N and 300 N·mm, and resolutions are 0.08 N in radial directions, 0.25 N in axial direction, and 2.4 N·mm in rotational directions. It also exhibits a good capability for a typical dynamic force sensing at a frequency close to the normal heart rate of an adult. The sensor is compatible with surgical instruments for force feedback in RMIS.

Key words

force feedback force/torque sensor Stewart platform optimal design robot-assisted minimally invasive surgery 

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References

  1. [1]
    MOUSTRIS G P, HIRIDIS S C, DELIPARASCHOS K M, KONSTANTINIDIS K M. Evolution of autonomous and semiautonomous robotic surgical systems: A review of the literature [J]. International Journal of Medical Robotics and Computer Assisted Surgery, 2011, 7(4): 375-392.CrossRefGoogle Scholar
  2. [2]
    KENNGOTT H, FISCHER L, NICKEL F, ROM J, RASSWEILER J, MULLER- STICH B. Status of robotic assistance: A less traumatic and more accurate minimally invasive surgery [J]. Langenbeck’s Archives of Surgery, 2012, 397(3): 1-9.CrossRefGoogle Scholar
  3. [3]
    GOMES P. Surgical robotics: Reviewing the past, analysing the present, imagining the future [J]. Robotics and Computer-Integrated Manufacturing, 2011, 27(2): 261-266.CrossRefGoogle Scholar
  4. [4]
    NAJARIAN S, FALLAHNEZHAD M, AFSHARI E. Advances in medical robotic systems with specific applications in surgery-A review [J]. Journal of Medical Engineering and Technology, 2011, 35(1): 19-33.CrossRefGoogle Scholar
  5. [5]
    BEASLEY R A. Medical robots: current systems and research directions [J]. Journal of Robotics, 2012, 2(1): 1-14.CrossRefGoogle Scholar
  6. [6]
    OKAMURA A, VERNER L, REILEY C, MAHVASH M. Haptics for robot-assisted minimally invasive surgery [J]. Robotics Research, Springer Tracts in Advanced Robotics, 2011, 66(1): 361-372.Google Scholar
  7. [7]
    LIU Yi-wei, FENG Fei, GAO Yi-fu. HIT prosthetic hand based on tendon-driven mechanism [J]. Journal of Central South University, 2014, 21(5): 1778-1791.CrossRefGoogle Scholar
  8. [8]
    ZHANG Ting, JIANG Li, LIU Hong. A novel grasping force control strategy for multifingered prosthetic hand [J]. Journal of Central South University, 2012, 19(6): 1537-1542.CrossRefMathSciNetGoogle Scholar
  9. [9]
    GIBO T L, BASTIAN A J, OKAMURA A M. Grip force control during virtual object interaction: Effect of force feedback, accuracy demands, and training [J]. IEEE Transactions on Haptics, 2014, 7(1): 37-47.CrossRefGoogle Scholar
  10. [10]
    LIU H, PUANGMALI P, ZBYSZEWSKI D, ELHAGE O, DASGUPTA P, DAI J S, SENEVIRATNE L, ALTHOEFER K. An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery [J]. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2010, 224(6): 751-763.CrossRefGoogle Scholar
  11. [11]
    TREJOS A L, JAYARAMAN S, PATEL R V, NAISH M D, SCHLACHTA C M. Force sensing in natural orifice transluminal endoscopic surgery [J]. Surgical Endoscopy, 2011, 25(1): 186-192.CrossRefGoogle Scholar
  12. [12]
    TREJOS A L, PATEL R V, NAISH M D. Force sensing and its application in minimally invasive surgery: A survey [J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering, 2010, 224(7): 1435-1454.Google Scholar
  13. [13]
    KONSTANTINOVA J, LI M, MEHRA G, DASGUPTA P, ALTHOEFER K, NANAYAKKARA T. Behavioral characteristics of manual palpation to localize hard nodules in soft tissues [J]. IEEE Transactions on Haptics on Biomedical Engineering, 2014, 61(6): 1651-1659.CrossRefGoogle Scholar
  14. [14]
    SANGPRADIT K, LIU H, DASGUPTA P, ALTHOEFER K, SENEVIRATNE L D. Finite-element modeling of soft tissue rolling indentation [J]. IEEE Transactions on Haptics on Biomedical Engineering, 2011, 58(12): 3319-3327.CrossRefGoogle Scholar
  15. [15]
    LIU H, NOONAN D P, CHALLACOMBE B J, DASGUPTA P, SENEVIRATNE L D, ALTHOEFER K. Rolling mechanical imaging for tissue abnormality localization during minimally invasive surgery [J]. IEEE Transactions on Haptics on Biomedical Engineering, 2010, 57(2): 404-414.CrossRefGoogle Scholar
  16. [16]
    BROWN J D, ROSEN J, MOREYRA M, SINANAN M, HANNAFORD B. Computer-controlled motorized endoscopic grasper for in vivo measurement of soft tissue biomechanical characteristics [C]// Proceedings of Medicine Meets Virtual Reality. Amsterdam, Netherland: IOS Press, 2002: 71-73.Google Scholar
  17. [17]
    MAYER H, GOMEZ F, WIERSTRA D, NAGY I, KNOLL A, SCHMIDHUBER J. A system for robotic heart surgery that learns to tie knots using recurrent neural networks [C]// Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, USA: IEEE Robotics and Automation Society, 2006: 543-548.Google Scholar
  18. [18]
    PRASAD S K, KITAKAWA M, FISCHER G S, ZAND J, TALAMINI M A, TAYLOR R H, OKAMURA A M. A modular 2-DOF force-sensing instrument for laparoscopic surgery [C]// Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention. Berlin, Germany: Springer, 2003: 279-286.Google Scholar
  19. [19]
    FISCHER G S, AKINBIYI T, SAHA S, ZAND J, TALAMINI M A, MAROHN M, TAYLOR R H. Ischemia and force sensing surgical instruments for augmenting available surgeon information [C]// Proceedings of RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. Piscataway, USA: IEEE Robotics and Automation Society, 2006: 1030-1035.Google Scholar
  20. [20]
    THIELMANN S, SEIBOLD U, HASLINGER R, PASSIG G, BAHLS T, JORG S, NICKL M, NOTHHELFER A, HAGN U, HIRZINGER G. MICA-A new generation of versatile instruments in robotic surgery [C]// Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. Taipei, Taiwan: IEEE Robotics and Automation Society, 2010: 871-878.Google Scholar
  21. [21]
    TAVAKOLI M, PATEL R V, MOALLEM M. Haptic interaction in robot-assisted endoscopic surgery: A sensorized end-effector [J]. International Journal of Medical Robotics and Computer Assisted Surgery, 2005, 1(2): 53-63.CrossRefGoogle Scholar
  22. [22]
    PEIRS J, CLIJNEN J, REYNAERTS D, BRUSSEL H V, HERIJGERS P, CORTEVILLE B, BOONE S. A micro optical force sensor for force feedback during minimally invasive robotic surgery [J]. Sensors and Actuators A: Physical, 2004, 115(2): 447-455.CrossRefGoogle Scholar
  23. [23]
    PUANGMALI P, LIU H B, SENEVIRATNE L D, DASGUPTA P, ALTHOEFER K. Miniature 3-axis distal force sensor for minimally invasive surgical palpation [J]. IEEE/ASME Transactions on Mechatronics, 2012, 17(4): 646-656.CrossRefGoogle Scholar
  24. [24]
    SAHA S. Appropriate degrees of freedom of force sensing in robot-assisted minimally invasive surgery [D]. Baltimore, USA: John Hopkins University, 2005.Google Scholar
  25. [25]
    BURDEA G. Force and touch feedback for virtual reality [M]. New York, USA: John Wiley & Sons, 1996: 132-135.Google Scholar
  26. [26]
    SORLI M, PASTORELLI S. 6-axis reticulated structure force/torque sensor with adaptable performance [J]. Mechatronics, 1995, 5(6): 585-601.CrossRefGoogle Scholar
  27. [27]
    KERR D R. Analysis, properties, and design of a Stewart-platform transducer [J]. Journal of Mechanisms, Transmissions, and Automation Design, 1989, 111(1): 585-601.CrossRefMathSciNetGoogle Scholar
  28. [28]
    JIN Zhen-lin, ZHAO Xian-zhao, GAO Feng. The research on link length design of a novel dexterous hand’s 6-axis force transducer [J]. Chinese Journal of Scientific Instrument, 2003, 24(4): 371-374. (in Chinese)Google Scholar

Copyright information

© Central South University Press and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Kun Li (李坤)
    • 1
  • Bo Pan (潘博)
    • 1
  • Wen-peng Gao (高文朋)
    • 2
  • Hai-bo Feng (封海波)
    • 1
  • Yi-li Fu (付宜利)
    • 1
  • Shu-guo Wang (王树国)
    • 1
  1. 1.State Key Laboratory of Robotics and System (Harbin Institute of Technology)HarbinChina
  2. 2.School of Life Science and TechnologyHarbin Institute of TechnologyHarbinChina

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