IEEE Robotics & Automation Magazine - December 2021 - 78

[252] X. Chu, H. W. Yip, Y. Cai, T. Y. Chung, S. Moran, and K. W. S. Au,
" A compliant robotic instrument with coupled tendon driven articulated
wrist control for organ retraction, " IEEE Robot. Autom. Lett., vol. 3,
no. 4, pp. 4225-4232, 2018. doi: 10.1109/LRA.2018.2863373.
[253] H. Lin, C.-W. V. Hui, Y. Wang, A. Deguet, P. Kazanzides, and K. W.
S. Au, " A reliable gravity compensation control strategy for dVRK
robotic arms with nonlinear disturbance forces, " IEEE Robot. Autom.
Lett., vol. 4, no. 4, pp. 3892-3899, 2019. doi: 10.1109/LRA.2019.2927953.
[254] Y. Cai, P. Choi, C.-W. V. Hui, R. Taylor, and K. W. S. Au, " A task
space virtual fixture architecture for tele-operated surgical system
with slave joint limit constraints, " IEEE/ASME Trans. Mechatron., early
access, 2021. doi: 10.1109/TMECH.2021.3058174.
[255] F. Zhong, Z. Wang, W. Chen, K. He, Y. Wang, and Y.-H. Liu,
" Hand-eye calibration of surgical instrument for robotic surgery using
interactive manipulation, " IEEE Robot. Autom. Lett., vol. 5, no. 2, pp.
1540-1547, 2020. doi: 10.1109/LRA.2020.2967685.
[256] Z. Zhao et al., " One to many: Adaptive instrument segmentation via
meta learning and dynamic online adaptation in robotic surgical video, " in
Proc. 2021 IEEE Int. Conf. Robot. Automat. (ICRA), to be published.
[257] A. Attanasio et al., " Autonomous tissue retraction in robotic
assisted minimally invasive surgery: A feasibility study, " IEEE Robot.
Autom. Lett., vol. 5, no. 4, pp. 6528-6535, 2020. doi: 10.1109/
LRA.2020.3013914.
[258] A. Attanasio et al., " A comparative study of spatio-temporal U-nets
for tissue segmentation in surgical robotics, " IEEE Trans. Med. Robot.
Bionics, vol. 3, no. 1, pp. 53-63, 2021. doi: 10.1109/TMRB.2021.3054326.
[259] Z. Wang and A. M. Fey, " Deep learning with convolutional neural
network for objective skill evaluation in robot-assisted surgery, " Int. J.
Comput. Assist. Radiol. Surg., vol. 13, no. 12, pp. 1959-1970, 2018. doi:
10.1007/s11548-018-1860-1.
[260] Z. Wang and A. M. Fey, " SATR-DL: Improving surgical skill
assessment and task recognition in robot-assisted surgery with deep
neural networks, " in Proc. 2018 40th Annu. Int. Conf. IEEE Eng. Med.
Biol. Soc. (EMBC), pp. 1793-1796. doi: 10.1109/EMBC.2018.8512575.
[261] Z. Wang et al., " A comparative human-centric analysis of virtual
reality and dry lab training tasks on the da Vinci surgical platform, " J.
Med. Robot. Res., vol. 04, no. 03n04, p. 1,942,007, 2020. doi: 10.1142/
S2424905X19420078.
[262] C. Wu et al., " Eye-tracking metrics predict perceived workload in
robotic surgical skills training, " Hum. Factors, vol. 62, no. 8, pp. 1365-
1386, 2019. doi: 10.1177/0018720819874544.
[263] G. Z. Yang et al., " Medical robotics-Regulatory, ethical, and legal
considerations for increasing levels of autonomy, " Sci. Robot., vol. 2, no.
4, p. 8638, 2017. doi: 10.1126/scirobotics.aam8638.
[264] A. M. Derossis, G. M. Fried, M. Abrahamowicz, H. H. Sigman, J. S.
Barkun, and J. L. Meakins, " Development of a model for training and
evaluation of laparoscopic skills, " Am. J. Surg, vol. 175, no. 6, pp. 482-
487, 1998. doi: 10.1016/S0002-9610(98)00080-4.
[265] T. D. Nagy and T. Haidegger, " A DVRK-based framework for surgical
subtask automation, " Acta Polytechnia Hungarica, vol. 16, no. 8, pp.
61-78, Oct. 2019.
[266] B. van Amsterdam, M. J. Clarkson, and D. Stoyanov, " Gesture recognition
in robotic surgery: A review, " IEEE Trans. Biomed. Eng., vol.
68, no. 6, pp. 2021-2035, 2021. doi: 10.1109/TBME.2021.3054828.
[267] J. W. Collins et al., " Ethical implications of AI in robotic surgical
training: A Delphi consensus statement, " Eur. Urol. Focus, early access, 2021.
78 * IEEE ROBOTICS & AUTOMATION MAGAZINE * DECEMBER 2021
[268] L. Maier-Hein et al., " Surgical data science for next-generation
interventions, " Nature Biomed. Eng., vol. 1, no. 9, pp. 691-696, 2017. doi:
10.1038/s41551-017-0132-7.
[269] L. Maier-Hein et al., " Surgical data science: From concepts to
clinical translation, " 2020, arXiv:2011.02284.
[270] A. J. Hung, J. Chen, A. Jarc, D. Hatcher, H. Djaladat, and I. S. Gill,
" Development and validation of objective performance metrics for
robot-assisted radical prostatectomy: A pilot study, " J. Urol., vol. 199,
no. 1, pp. 296-304, 2018. doi: 10.1016/j.juro.2017.07.081.
Claudia D'Ettorre, Wellcome/EPSRC Centre for Interventional
and Surgical Sciences, University College London, London,
W1W 7EJ, U.K. Email: c.dettorre@ucl.ac.uk.
Andrea Mariani, BioRobotics Institute and the Department of
Excellence in Robotics & AI of Scuola Superiore Sant'Anna,
Pisa, 56025, Italy. Email: andrea.mariani@santannapisa.it.
Agostino Stilli, Wellcome/EPSRC Centre for Interventional
and Surgical Sciences, University College London, London,
W1W 7EJ, U.K. Email: a.stilli@ucl.ac.uk.
Ferdinando Rodriguez y Baena, Mechanical Engineering
Department, Imperial College London, South Kensington,
London, SW7 9AG, U.K. Email: f.rodriguez@imperial
.ac.uk.
Pietro Valdastri, STORM Lab, Institute of Robotics, Autonomous
Systems and Sensing, School of Electronic and Electrical
Engineering, University of Leeds, Woodhouse, Leeds, LS2
9JT, U.K. Email: p.valdastri@leeds.ac.uk.
Anton Deguet, Johns Hopkins University, Baltimore, Maryland,
21218, USA. Email: anton.deguet@jhu.edu.
Peter Kazanzides, Johns Hopkins University, Baltimore, Maryland,
21218, USA. Email: pkaz@jhu.edu.
Russell H. Taylor, Johns Hopkins University, Baltimore, Maryland,
21218, USA. Email: rht@jhu.edu.
Gregory S. Fischer, Automation and Interventional Medicine
Laboratory, Worcester Polytechnic Institute, Worcester, Massachusetts,
USA.
Simon P. DiMaio, Intuitive Surgical Inc, Sunnyvale, California,
USA.
Arianna Menciassi, BioRobotics Institute and the Department
of Excellence in Robotics & AI of Scuola Superiore Sant'Anna,
Pisa, 56025, Italy. Email: arianna.menciassi@santannapisa.it.
Danail Stoyanov, Wellcome/EPSRC Centre for Interventional
and Surgical Sciences, University College London, London,
W1W 7EJ, U.K. Email: d.stoyanov@ucl.ac.uk.
IEEE Robotics & Automation Magazine - December 2021

Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - December 2021
