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excerpt from the book: Biomechatronics, Popovic, Academic Press, Elsevier, 2019. (No of pages 668) ISBN 978-0-12-812939-5 https://doi.org/10.1016/C2016-0-04132-3 Copyright © 2019 Elsevier Inc. All rights reserved. Chapter 15, Pages 431-450
Robotic Surgery Pinar Boyraz*,†, Ivo Dobrev‡, Gregory Fischer§, Marko B. Popovic§
*CHALMERS UNIVERSITY OF TECHNOLOGY, GOTHENBURG, SWEDEN †ISTANBUL
TECHNICAL UNIVERSITY, ISTANBUL, TURKEY ‡UNIVERSITY HOSPITAL ZURICH,
UNIVERSITY ZURICH, ZURICH, SWITZERLAND §WORCESTER POLYTECHNIC INSTITUTE,
WORCESTER, MA, UNITED STATES
Abstract
In this chapter, a general overview of robotic surgery will be provided while focusing on specific
developments on hyperredundant, continuum, and soft-material robotic platforms. The chapter also
provides a wide and comprehensive outlook on the implications of human-machine interaction and
autonomy levels in robotic surgery. To better explain the new developments in robotic surgery front, two
case studies are selected reporting on the state-of-the-art applications in robotic ear surgery and
hyperredundant semiautonomous robotic platforms.
CHAPTER OUTLINE
15.1 Overview of Robotic Surgery .................................................................................................. 431
15.1.1 Introduction: Traditional Robotic Surgery ...........................................................................432
15.1.2 Multiarm, Hyperredundant, Continuum, and Soft-Robotic Platforms for
Robotic Endoscopy ........................................................................................................................434
15.2 Platform-Based Classification of Robotic Surgery .................................................................... 436
15.2.1 Multiarm Robotic Platforms for MIS ...................................................................................436
15.2.2 Hyperredundant Robotic Platforms ....................................................................................437
15.2.3 Continuum Robots for MIS ..................................................................................................437
15.2.4 Soft Robotics for Surgical Applications ................................................................................438
15.2.5 Hybrid Robotic Platforms ....................................................................................................440
15.3 Human-Machine Interaction in Robotic Surgery ...................................................................... 441
15.4 Autonomy Levels in Robotic Surgery ....................................................................................... 442
15.5 Case Studies ........................................................................................................................... 443
15.5.1 Automated Ear Surgeries .....................................................................................................443
15.5.2 Reconfigurable and Hyperredundant Robotic Platforms .....................................................446
15.6 Conclusion and Future Trends ................................................................................................ 447
References .................................................................................................................................... 447
Biomechatronics. https://doi.org/10.1016/B978-0-12-812939-5.00015-X
© 2019 Elsevier Inc. All rights reserved.
[chapter content intentionally omitted]
References
[1] A.R. Lanfranco, A.E. Castellanos, J.P. Desai,W.C.Meyers, Robotic surgery: a current perspective, Ann.
Surg. 239 (1) (2004) 14–21.
[2] J.S. Rassweiler, R. Autorino, J. Klein, A.Mottrie, A.S. Goezen, J.-U. Stolzenburg, et al., Future of robotic
surgery in urology, BJU Int. 120 (2017) 822–841.
[3] J. Jayakumaran, S.D. Patel, B.K. Gangrade, D.M. Narasimhulu, S.R. Pandian, C. Silva, Robotic assisted
laparoscopy in reproductive surgery: a contemporary review, J. Robot. Surg. 11 (2017) 97–109.
[4] T. Arulampalam, S. Patterson-Brown, A.J. Morris, M.C. Parker, Natural orifice transluminal endoscopic
surgery, Consensus Statement, Ann. R. Coll. Surg. Engl. 91 (2009) 456–459.
[5] M.E.Hagen, M.K. Jung, F. Ris, J. Fakhro, N.C. Buchs, L. Buehler, P.Morel, Early clinical experience with
the da Vinci Xi surgical system in general surgery, J. Robot. Surg. 11 (2017) 347–353.
[6] K. Taniguchi, A. Nishikawa, M. Sekimoto, T. Kobayashi, et al., Classification, design and evaluation of
endoscope robots, in: S.H. Baik (Ed.), Robot Surgery, 2010, p. 172. ISBN 978-953-7619-77-0.
[7] A. Szold, R. Bergamaschi, I. Broeders, J. Dankelman, et al., European association of endoscopic
surgeons (EAES) consensus statement on the use of robotics in general surgery, in: Surgical Endoscopy,
Springer, 2014, pp. 1–36. Consensus Statement.
[8] B.P.M. Yeung, P.W.Y. Chiu, Application of robotics in gastrointestinal endoscopy: a review, World
Gastroenterol. 22 (5) (2016) 1811–1825.
[9] S.J. Phee, A.P. Kencana, V.A. Huynh, Z.L. Sun, S.C. Low, K. Yang, D. Lomanto, K.Y. Ho, Design of a master
and slave transluminal endoscopic robot for natural orifice transluminal endoscopic surgery, Proc. IMechE
Part C: J. Mech. Eng. Sci. 224 (2010) 1495–1503.
[10] T. Ogiwara, T. Goto, A. Nagm, K. Hongo, Endoscopic endonasal transsphenoidal surgery using the
iArmSoperationsupport robot: initial experience in 42 patients, Neurosurg.Focus. 42(5) (2017) 1–5. E10.
[11] K. Kume, Flexible robotic endoscopy: current and original devices, Comput. Assist. Surg. 21 (1) (2016)
150–159.
[12] P.R. Slawinski, K.L. Obstein, P. Valdastri, Emerging issues and future developments in capsule
endoscopy, Tech. Gastrointest. Endosc. 17 (2015) 40–46.
[13] M.E. Moran, Evolution of robotic arms, J. Robot. Surg. 1 (2007) 103–111.
[14] E. Abdi, M. Bouri, S. Himidan, E. Burdet, H. Bleuler, Third arm manipulation for surgical applications:
an experimental study, in: New Trends in Medical and Service Robots, 2016, pp. 153–163.
[15] Z. Li, D. Milutinovic, J. Rosen, Design of a multi-arm surgical robotic system for dexterous
manipulation, J. Mech. Robot. 8 (061017) (2016) 10.
[16] H. Zhao, J. Tian, D. Li, C. Ai, Design of a multi-arm robot for mandible reconstruction surgery, Appl.
Mech. Mater. 654 (2014) 187–190.
[17] O. Salomon, A. Wolf, Inclined links hyper-redundant elephant-trunk-like robot, J. Mech. Robot. 4
(2012). 6 pp.
[18] Z. Li, H. Ren, P.W.Y. Chiu, R. Du, H. Yu, A novel constrained wire-driven flexible mechanism and its
kinematic analysis, Mech. Mach. Theory 95 (2016) 59–75.
[19] M.M. Tonapi, I.S. Godage, A.M. Vijaykumar, I.D. Walker, A novel continuum robotic cable aimed at
applications in space, Adv. Robot. 29 (6) (2015) 861–875.
[20] G.S. Chirikjian, J.W. Burdick, A modal approach to hyper-redundant manipulator kinematics, IEEE
Trans. Robot. Autom. 10 (3) (1994) 343–354.
[21] G.S. Chrikjian, J.W. Burdick, Kinematically optimal hyper-redundant manipulator configurations, IEEE
Trans. Robot. Autom. 11 (6) (1995) 794–806.
[22] G.S. Chrikjian, Hyper-redundant manipulator dynamics: a continuum approximation, Adv. Robot. 9
(3) (1994) 217–243.
[23] N.C. Cho, H. Jung, J. Son, K.G. Kim, A modular control scheme for hyper-redundant robots, Int. J. Adv.
Robot. Syst. 12 (2015) 91.
[24] A. Bajo, N. Simaan, Hybrid motion/force control of multi-backbone continuum robots, Int. J. Robot.
Res. 35 (4) (2016) 422–434.
[25] J.Wang, S.Wang, J. Li, X. Ren, R.M. Briggs, Development of a novel robotic platform with controllable
stiffness manipulation arms for laparoendoscopic single-site surgery (LESS), J.Med. Robot. Comput. Assist.
Surg. 14 (2018) 1–16.
[26] J. Burgner-Kahrs, C. Rucker, H. Choset, Continuum robots for medical applications: a survey, IEEE
Trans. Robot. 31 (6) (2015).
[27] H. Su, G. Li, D.C. Rucker, R.J. Webster III, G. Fischer, A. Concentric Tube, Continuum robot with
piezoelectric actuation for MRI-guided closed-loop targeting, Ann. Biomed. Eng. 44 (10) (2016) 2863–
2873.
[28] P. Qi, C. Qui, H. Liu, J.S. Dai, L.D. Seneviratne, K. Althoefer, A novel continuum manipulator design
using serially connected double-layer planar springs, IEEE/ASME Trans. Mechatr. 21 (3) (2016) 1281–1292.
[29] H. Abidi, G. Gerboni, M. Brancadoro, J. Fras, A. Diodato, M. Cianchetti, H. Wurdemann, K. Althoefer,
Highly dexterous 2-module soft robot for intra-organ navigation in minimally invasive surgery, Int. J. Med.
Robot. Comput. Assist. Surg. 14 (2018) 1–9.
[30] M.D. Gilbertson, G. McDonald, G. Korinek, J.D. Van de Ven, T.M. Kowalewski, Serially actuated
locomotion for soft robots in tube-like environments, IEEE Robot. Autom. Lett. 2 (2) (2017) 1140–1147.
[31] G. Smoljkic, G. Borghesan, A. Devreker, A.V. Poorten, B. Rosa, H. De Praetere, J. De Schutter, D.
Reynaerts, J.V. Sloten, Controlof a hybrid robotic system for computer-assisted interventions in dynamic
environments, Int. J. CARS 11 (2016) 1371–1383.
[32] A. Singh, E. Singla, S. Soni, A. Singla, Kinematic modeling of a 7-degree of freedom spatial hybrid
manipulator for medical surgery, Proc. IMechE Part H: J. Eng. Med. 232 (1) (2018) 12–23.
[33] A.K. Mishra, E. Del Dottore, A. Sadeghi, A.Mondini, B. Mazzolai, SIMBA: tendon-driven modular
continuum arm with soft reconfigurable gripper, Front. Robot. AI 4 (4) (2017) 1–10.
[34] D.J. Kiely, W.H. Gotlieb, S. Lau, X. Zeng, V. Samouelian, A.V. Ramanakumar, et al., Virtual reality
robotic surgery simulation curriculum to teach robotic suturing: a randomized controlled trial, J. Robot.
Surg. 9 (2015) 179–186.
[35] C. Pacchierotti, F. Ongaro, F. Van den Brink, C. Yoon, D. Prattichizzo, et al., Steering and control of
miniaturized untethered soft magnetic grippers with haptic assistance, IEEE Trans. Autom. Sci. Eng. Inst.
Electr. Electron. Eng. 15 (1) (2018) 290–306.
[36] J. Buzzi, G. Ferrigno, J.M. Jansma, E. DeMomi, On the value of estimating human arm stiffness during
virtual teleoperation with robotic manipulators, Front. Neurosci. 11 (2017), 528.
[37] E. Bauzano, B. Estebanez, I. Garcia-Morales, V. Munoz, Collaborative human-robot system for HALS
suture procedures, IEEE Syst. J. 10 (3) (2016) 957–966.
[38] ISO Standard, IEC/TR 60601-4-1:2017, Medical Electrical Equipment- Part 4-1: Guidance and
Interpretation-Medical Electrical Equipment and Medical Electrical Systems Employing a Degree of
Autonomy.
[39] R.Muradore, P. Fiorini, G. Akgun,D.E. Barkana, M. Bonfe, F. Boriero, A. Caprara, et al., Development
of a cognitive robotic system for simple surgical tasks, Int. J. Adv. Robot. Syst. 12 (37) (2015) 1–20.
[40] F. Ferraguti, N. Preda, A. Manurung, M. Bonfe, O. Lambercy, R. Gassert, et al., En energy tank-based
interactive control architecture for autonomous and teleoperated robotic surgery, IEEE Trans. Robot. 31
(5) (2015) 1073–1088.
[41] K. Watanabe, T. Kanno, K. Ito, K. Kawashima, Human-integrated automation of suturing task with
one-master two-slave system for laparoscopic surgery, in: IEEE Int Conf. on Advanced Intelligent
Mechatronics (AIM), Banf, Alberta, Canada, 2016.
[42] M. Fard, A.K. Pandya, R.B. Chinnam, M.D. Klein, R.D. Ellis, Distance-based time series classification
approach for task recognition with application in surgical robot autonomy, Int. J. Med. Robot. Comput.
Assist. Surg. 13 (e1766) (2017) 1–9.
[43] R.F. Labadie, R. Balachandran, J. Mitchell, J.H. Noble, O. Majdani, D. Haynes, M. Bennett, B.M.
Dawant, J.M. Fitzpatrick, Clinical validation study of percutaneous cochlear access using patient
customized micro-stereotactic frames, Otol.Neurotol.: Off. Publ. Am. Otol. Soc. Am.Neurotol. Soc. Eur.
Acad. Otol. Neurotol. 31 (1) (2010) 94.
[44] J.H. Noble, F.M. Warren, R.F. Labadie, B.M. Dawant, J.M. Fitzpatrick, Determination of drill paths for
percutaneous cochlear access accounting for target positioning error, Proc. SPIE 6509 (2007) 650925.1–
650925.10.
[45] R.F. Labadie, J.H. Noble, B.M. Dawant, O. Majdani, R. Balachandran, J.M. Fitzpatrick, Clinical validation
of percutaneous cochlear implant surgery: initial report, Laryngoscope 118 (2008) 1031–1039. 18401279.
[46] N. Gerber, B. Bell, K. Gavaghan, C. Weisstanner, M. Caversaccio, S. Weber, Surgical planning tool for
robotically assisted hearing aid implantation, Int. J. Comput. Assist. Radiol. Surg. 9 (1) (2014) 11–20.
[47] R. Torres, G. Kazmitcheff, D. De Seta, E. Ferrary, O. Sterkers, Y. Nguyen, Improvement of the insertion
axis for cochlear implantation with a robot-based system, Eur. Arch. Otorhinolaryngol. 274 (2) (2017) 715–
721.
[48] P.R. Nasdar, P. Boyraz, T. Ortmaier, A. Raatz, Development of compliant hyper-redundant
mechanisms for robotic catheters and analysis of controllability, Deutche Gesselschaft fuer Robotik (DGR)
Days (2016) 29–30 Leipzig, Germany.