Towards validation of robotic surgery training assessment across training platforms

Yixin Gao, Mert Sedef, Amod Jog, Peter Peng, Michael Choti, Gregory Hager, Jeff Berkley, Rajesh Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Robotic surgery is increasingly popular for a wide range of complex minimally invasive surgery procedures. To improve robotic surgery training, a skills trainer simulator called dV-Trainer has recently been introduced, and a da Vinci Skills Simulator is in advanced evaluation. These platforms report a range of time and motion based task metrics and literature has investigated the validity of these metrics in training studies. However, the lack of a cross-platform data collection system has so far prevented a cross-platform investigation. Using a new architecture for collecting cross-platform motion data, we present the first study investigating whether metrics previously validated in simulation environments also hold in training exercises with a real robotic system. Preliminary experiments for an anastomosis needle throwing task in both simulated and real robotic environments are presented, and corresponding performance metrics for both proficient and trainee users are reported.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
Pages2539-2544
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11 - San Francisco, CA, United States
Duration: Sep 25 2011Sep 30 2011

Other

Other2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11
CountryUnited States
CitySan Francisco, CA
Period9/25/119/30/11

Fingerprint

Robotics
Simulators
Needles
Surgery
Experiments
Robotic surgery

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Gao, Y., Sedef, M., Jog, A., Peng, P., Choti, M., Hager, G., ... Kumar, R. (2011). Towards validation of robotic surgery training assessment across training platforms. In IEEE International Conference on Intelligent Robots and Systems (pp. 2539-2544). [6048437] https://doi.org/10.1109/IROS.2011.6048437

Towards validation of robotic surgery training assessment across training platforms. / Gao, Yixin; Sedef, Mert; Jog, Amod; Peng, Peter; Choti, Michael; Hager, Gregory; Berkley, Jeff; Kumar, Rajesh.

IEEE International Conference on Intelligent Robots and Systems. 2011. p. 2539-2544 6048437.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gao, Y, Sedef, M, Jog, A, Peng, P, Choti, M, Hager, G, Berkley, J & Kumar, R 2011, Towards validation of robotic surgery training assessment across training platforms. in IEEE International Conference on Intelligent Robots and Systems., 6048437, pp. 2539-2544, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11, San Francisco, CA, United States, 9/25/11. https://doi.org/10.1109/IROS.2011.6048437
Gao Y, Sedef M, Jog A, Peng P, Choti M, Hager G et al. Towards validation of robotic surgery training assessment across training platforms. In IEEE International Conference on Intelligent Robots and Systems. 2011. p. 2539-2544. 6048437 https://doi.org/10.1109/IROS.2011.6048437
Gao, Yixin ; Sedef, Mert ; Jog, Amod ; Peng, Peter ; Choti, Michael ; Hager, Gregory ; Berkley, Jeff ; Kumar, Rajesh. / Towards validation of robotic surgery training assessment across training platforms. IEEE International Conference on Intelligent Robots and Systems. 2011. pp. 2539-2544
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