Challenges in the Design of Laparoscopic Tools

  • J. AmatEmail author
  • A. Casals
  • E. Bergés
  • A. Avilés
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 418)


The need to minimize trauma in surgical interventions has led to a continuous evolution of surgical techniques. The robotization of minimally invasive surgeries (MIS) through robotized instruments, provided with 2 or 3 degrees of freedom, aims to increase dexterity, accuracy… and thus, assist the surgeons. This work presents the challenges faced during the development of a surgical instrument, from the work carried out in the design and implementation of a complete surgical robotic system. After an overview of the surgical instruments associated to the alternative techniques in MIS, the process of designing laparoscopic instruments for the developed robotic system is described. Our approach focusses on the technological challenges of achieving a user-friendly laparoscopy, affordable for hospitals. These include the complexity of designing small-sized tools, which match the surgical requirements and introduce additional features, as haptic feedback. In addition, we explain the non-technological obstacles overcome to satisfy the commercialization requirements. The huge number of patents in this field acts as a spider web, which led us to seek for novelty. Although specific parts of the robotic system were not the core of our project, we needed to fit their design and obtain our own patents to grant the complete robotic system was free of patent infringement. On the other hand, complex regulatory procedures turn the whole commercialization process dilated and tedious. Finally, we present some of our ongoing research to improve performance of this kind of robot assisted surgery, as well as to other surgical fields.


Minimally invasive surgery Laparoscopic instruments Teleoperated surgery 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Mettlere, L.: Historical Profile of Kurt Karl Stephan Semm, Born March 23, 1927 in Munich, Germany, Resident of Tucson, Arizona, USA Since 1996. JSLS 7(3), 185–188 (2003)Google Scholar
  2. 2.
    Rattner, D., Kalloo, A.: SAGES/ASGE Working Group on Natural Orifice Translumenal Endoscopic Surgery, “White Paper”, Surg. Endosc. 20, 329–333 (2006)Google Scholar
  3. 3.
    Nickles, A., et al.: Laparoendoscopic Single-Site Surgery in Gynaecology: A New Frontier in Minimally Invasive Surgery. Journal of Minimal Access Surgery 7(1), 71–77 (2011)Google Scholar
  4. 4.
    Kim, S., Landman, J., Sung, G.: Laparoendoscopic Single-Site Surgery With the Second-Generation Single Port Instrument Delivery Extended Reach Surgical System in a Porcine Model. Korean J. Urol. 54(5), 327–332 (2013)CrossRefGoogle Scholar
  5. 5.
    Amat, J.: Robotized instruments for Laparoscopic Surgery, Patent number ES2388867Google Scholar
  6. 6.
  7. 7.
    Sparapani, T.: Surgical Robotics and the Attack of the Patent Trolls, FORBES/TECH.
  8. 8.
    Bayle, B., Joinie-Maurin, M., Barbe, L., Gangloff, J., de Mathelin, M.: Robot interaction control in medicin and surgery: original results and open problems. In: Computational Surgery and Dual Training, pp 169–161 (2014)Google Scholar
  9. 9.
    Pacchierotti, C., Tirmizi, A., Prattichizzo, D.: Improving transparency in teleoperation by means of cutaneous tactile force feedback. ACM Transactions on Applied Perception 11, 1 (2014)CrossRefGoogle Scholar
  10. 10.
    Puangmali, P., Liu, H., Seneviratne, L.D., Dasgupta, P., Althoefer, K.: Miniature 3-Axis Distal Force Sensor for Minimally Invasive Surgical Palpation. IEEE Trans. on Mechatronics 17(4), 646–656 (2012)CrossRefGoogle Scholar
  11. 11.
    Aviles, A., Alsaleh, S.M., Sobrevilla, P., Casals, A.: Force-Feedback Sensory Substitution using Supervised Recurrent Learning for Robotic-Assisted Surgery. IEEE Int Conf. Engineering in Medicine and Biology (2015)Google Scholar
  12. 12.
    Greminger, M.A., Nelson, B.J.: Vision-based force measurement. IEEE Trans on Pattern Analysis and Machine Intelligence 26(3) (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Universitat Politècnica de Catalunya, Barcelona-TechBarcelonaSpain

Personalised recommendations