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Assistance Strategies for Robotized Laparoscopy

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Robot 2019: Fourth Iberian Robotics Conference (ROBOT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1093))

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Abstract

Robotizing laparoscopic surgery not only allows achieving better accuracy to operate when a scale factor is applied between master and slave or thanks to the use of tools with 3 DoF, which cannot be used in conventional manual surgery, but also due to additional informatic support. Relying on computer assistance different strategies that facilitate the task of the surgeon can be incorporated, either in the form of autonomous navigation or cooperative guidance, providing sensory or visual feedback, or introducing certain limitations of movements. This paper describes different ways of assistance aimed at improving the work capacity of the surgeon and achieving more safety for the patient, and the results obtained with the prototype developed at UPC.

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References

  1. Versius homepage. https://cmrsurgical.com/versius/Versius.html. Accessed 2019

  2. RobSurgical Homepage. https://www.robsurgical.com/bitrack/. Accessed 2019

  3. Ortmaier, T., Deml, B., Kübler, B., Passig, G., Reintsema, D., Seibold, U.: Robot assisted force feedback surgery. In: Advances in Telerobotics, vol. 31, pp. 361–379. Springer, Heidelberg (2007)

    Google Scholar 

  4. Choi, H.-R., Lee, D.-H., Kim, U., Gulrez, T., Yoon, W.J., Hannaford, B.: A laparoscopic grasping tool with force sensing capability. IEEE/ASME Trans. Mechatronics 21(1), 1 (2015)

    Article  Google Scholar 

  5. Trejos, A.L., Patel, R.V., Naish, M.D.: Force sensing and its application in minimally invasive surgery and therapy: a survey. In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 224, no. 7, pp. 1435–1454 (2010)

    Google Scholar 

  6. Zemiti, N., et al.: Force controlled laparoscopic surgical robot without distal force sensing. In: HAL Archives-Ouvertes (2015)

    Google Scholar 

  7. Zhao, B., Nelson, C.A.: A sensorless force-feedback system for robot-assisted laparoscopic surgery. Comput. Assist. Surg. 1–8 (2019)

    Google Scholar 

  8. Xue, R., Ren, B., Huang, J., Yan, Z., Du, Z.: Design and evaluation of FBG-based tension sensor in laparoscope surgical robots. Sensors (Switzerland) 18(7), 1–18 (2018)

    Article  Google Scholar 

  9. Weede, O., et al.: Towards cognitive medical robotics in minimal invasive surgery. In: ACM International Conference Proceeding Series (2013)

    Google Scholar 

  10. Muradore, R., et al.: Development of a cognitive robotic system for simple surgical tasks. Int. J. Adv. Robot. Syst. (2015). https://doi.org/10.5772/6013

    Google Scholar 

  11. Padoy, N.: Machine and deep learning for workflow recognition during surgery. Artif. Intell. Oper. Room 28(2), 82–90 (2019)

    Google Scholar 

  12. Aviles, A.I., et al.: Towards retrieving force feedback in robotic-assisted surgery: a supervised neuro-recurrent-vision approach. IEEE Trans. Haptics 10(3), 431–443 (2016)

    Article  Google Scholar 

  13. Giannarou, S., Ye, M., Gras, G., et al.: Vision based deformation recovery for intraoperative force estimation of tool-tissue interaction for neurosurgery. Int. J. CARS 11, 929 (2016). https://doi.org/10.1007/s11548-016-1361-z

    Article  Google Scholar 

  14. Dong-Han, L., Hwang, W., Lim, S.C.: Interaction force estimation using camera and electrical current without force/torque sensor. IEEE Sens. (2018)

    Google Scholar 

  15. Sayols, N., Hernansanz, A., Parra, J., Eixarch, E., Gratacós, E., Amat J., Casals, A.: Vision based robot assistance in TTTS fetal surgery. In: IEEE-Engineering in Medicine and Biology Conference (2019)

    Google Scholar 

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Acknowledgements

The authors thank the contribution of Dr Antonio Alcaraz and Lluís Peri of Hospital Clínic, Barcelona, for their assessment along the clinical evaluation process. The ongoing research is partly funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 779813 (SARAS).

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Correspondence to Alicia Casals .

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Casals, A., Hernansanz, A., Sayols, N., Amat, J. (2020). Assistance Strategies for Robotized Laparoscopy. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-030-36150-1_40

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