Skip to main content

Mechanism of a Learning Robot Manipulator for Laparoscopic Surgical Training

  • Conference paper
Intelligent Autonomous Systems 12

Abstract

This paper presents a robot manipulator for hand-over-hand guidance training of laparoscopic surgery. Details of the mechanical design, kinematic analysis and control mechanism of the robot are presented. The robot records motion of surgical tool manipulated by master surgeon, and provides physical guidance to the trainee based on the recorded motion.  The robotic manipulator can accurately reproduce the five degree of freedom manipulation of laparoscopic instrument during surgery. A hybrid spherical mechanism is applied for decoupling and reproducing the motion of surgical tool to facilitate implementation of control mechanism. The manipulators for left and right hands are capable of precise execution of a recorded trajectory with observed maximum error of 2.12 mm and 2 mm respectively during an experiment on user interaction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Voyles, C.R., et al.: A practical approach to laparoscopic cholecystectomy. Am J. Surg. 161(3), 365–370 (1991)

    Article  Google Scholar 

  2. Alberich-Bayarri, A., et al.: Volume Mesh Generation and Finite Element Analysis of Trabecular Bone Magnetic Resonance Images. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007 (2007)

    Google Scholar 

  3. Derossis, A.M., Fried, G.M., et al.: Development of a model for training and evaluation of laparoscopic skills (0002-9610 (Print))

    Google Scholar 

  4. Derossis, A.M., et al.: The effect of practice on performance in a laparoscopic simulator. Surg. Endosc. 12(9), 1117–1120 (1998)

    Article  Google Scholar 

  5. Woodrum, D.T., et al.: Construct validity of the LapSim laparoscopic surgical simulator. The American Journal of Surgery 191(1), 28–32 (2006)

    Article  Google Scholar 

  6. Teo, C.L., Burdet, E., Lim, H.P.: A robotic teacher of Chinese handwriting. In: Proceedings. 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS 2002(2002)

    Google Scholar 

  7. Bluteau, J., et al.: Haptic guidance improves the visuo-manual tracking of trajectories. PLoS One 3(3), e1775 (2008)

    Google Scholar 

  8. Lee, C.-S., et al.: Designing an Active Motor Skill Learning Platform with a Robot-Assisted Laparoscopic Trainer. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston (2011)

    Google Scholar 

  9. Vijaykumar, R., Tsai, M., Waldron, K.: Geometric optimization of manipulator structures for working volume and dexterity. In: Proceedings of 1985 IEEE International Conference on Robotics and Automation (1985)

    Google Scholar 

  10. Piccin, O., et al.: Kinematic modeling of a 5-DOF parallel mechanism for semi-spherical workspace. Mechanism and Machine Theory 44(8), 1485–1496 (2009)

    Article  MATH  Google Scholar 

  11. Rosen, J., et al.: Surgeon-tool force/torque signatures–evaluation of surgical skills in minimally invasive surgery. Stud. Health Technol. Inform. 62, 290–296 (1999)

    Google Scholar 

  12. Yang, T., et al.: Modeling cutting force of laparoscopic scissors. In: 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI (2010)

    Google Scholar 

  13. Misra, S., Ramesh, K.T., Okamura, A.M.: Modeling of tool-tissue interactions for computer-based surgical simulation: A literature review. Presence-Teleoperators and Virtual Environments 17(5), 463–491 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tao Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, T. et al. (2013). Mechanism of a Learning Robot Manipulator for Laparoscopic Surgical Training. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33932-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33931-8

  • Online ISBN: 978-3-642-33932-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics