Enhancing robotic telesurgery with sensorless haptic feedback-Reference-Cited by-同舟云学术

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Enhancing robotic telesurgery with sensorless haptic feedback

Published:2024-04-10 Issue:6 Volume:19 Page:1147-1155
ISSN:1861-6429
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Yilmaz Nural^ORCID,Burkhart Brendan^ORCID,Deguet Anton^ORCID,Kazanzides Peter^ORCID,Tumerdem Ugur^ORCID

Funder

The Scientific Research Department

Intuitive Surgical 2023 Technology Research Grant

National Science Foundation

TUBITAK 2214A International Research Fellowship Program

Fulbright U.S. Scholar Program

TUBITAK 2219

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11548-024-03117-y.pdf

Reference26 articles.

1. Okamura AM (2004) Methods for haptic feedback in teleoperated robot-assisted surgery. Ind Robot 31(6):499–508

2. Okamura AM (2009) Haptic feedback in robot-assisted minimally invasive surgery. Curr Opin Urol 19(1):102

3. Okamura AM, Verner LN, Reiley CE, Mahvash M (2011) Haptics for robot-assisted minimally invasive surgery. In: Robotics Research: The 13th International Symposium ISRR, 361–372 . Springer

4. Yilmaz N, Wu JY, Kazanzides P, Tumerdem U (2020) Neural network based inverse dynamics identification and external force estimation on the da Vinci Research Kit. In: IEEE Int Conf Robot Autom. (ICRA), 1387–1393

5. Tran N, Wu JY, Deguet A, Kazanzides P (2020) A deep learning approach to intrinsic force sensing on the da Vinci surgical robot. In: IEEE Int Conf on Robotic Computing

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