Abstract
Surgical robotics, or more accurately, computer-assisted tele-surgery, has two main purposes: first, to increase human performance beyond limitation of a person’s inherent physical abilities and second, to perform a surgical procedure at a remote site [1]. As a concept, tele-surgery originated with a 1972 NASA proposal. The initial vision was to provide medical care for orbiting astronauts from a terrestrial base by introducing an electromechanical system between the surgeon and the patient [2]. In the 1980s and 1990s, minimally invasive surgical techniques were developed that allowed the performance of precise surgical tasks through a few, small, incisions using specially developed surgical instruments. Since the dawn of surgical robotics, with the rapid development of computers and a dramatic increase in computational power came the application technology to the execution of surgical procedures. This culminated with the vision of remote tele-operation of surgical robots in the battlefield and the initial funding necessary to develop the current generation of surgical robots [3].
Disclosure: Myriam J. Curet, MD, is Senior Vice President and Chief Medical Officer at Intuitive Surgical.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lendvay TS, Hannaford B, Satava RM. Future of robotic surgery. Cancer J. 2013;19(2):109–19.
Camarillo DB, Krummel TM, Salisbury JK. Robotic technology in surgery: past, present, and future. Am J Surg. 2004;188(4A Suppl):2S–15.
Marohn MR, Hanly EJ. Twenty-first century surgery using twenty-first century technology: surgical robotics. Curr Surg. 2004;61(5):466–73.
van der Meijden OAJ, Schijven MP. The value of haptic feedback in conventional and robot-assisted minimal invasive surgery and virtual reality training: a current review. Surg Endosc. 2009;23(6):1180–90.
Bach-y-Rita P, Kercel SW. Sensory substitution and the human–machine interface. Trends Cogn Sci. 2003;7(12):541–6.
Kitagawa M, Dokko D, Okamura AM, Yuh DD. Effect of sensory substitution on suture-manipulation forces for robotic surgical systems. J Thorac Cardiovasc Surg. 2005;129(1):151–8.
Reiley CE, Akinbiyi T, Burschka D, Chang DC, Okamura AM, Yuh DD. Effects of visual force feedback on robot-assisted surgical task performance. J Thorac Cardiovasc Surg. 2008;135(1):196–202.
Lee S-L, Lerotic M, Vitiello V, Giannarou S, Kwok K-W, Visentini-Scarzanella M, et al. From medical images to minimally invasive intervention: computer assistance for robotic surgery. Comput Med Imaging Graph. 2010;34(1):33–45.
Walter AJ. Surgical education for the twenty-first century: beyond the apprentice model. Obstet Gynecol Clin North Am. 2006;33(2):233–6. vii.
Moorthy K, Munz Y, Sarker SK, Darzi A. Objective assessment of technical skills in surgery. BMJ Clin Res. 2003;327(7422):1032–7.
Choy I, Fecso A, Kwong J, Jackson T, Okrainec A. Remote evaluation of laparoscopic performance using the global operative assessment of laparoscopic skills. Surg Endosc. 2012;27(2):378–83.
Abboudi H, Khan MS, Aboumarzouk O, Guru KA, Challacombe B, Dasgupta P, et al. Current status of validation for robotic surgery simulators – a systematic review. BJU Int. 2013;111(2):194–205.
Lin HC, Shafran I, Yuh D, Hager GD. Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions. Comput Aided Surg. 2006;11(5):220–30.
Lentz GM, Mandel LS, Lee D, Gardella C, Melville J, Goff BA. Testing surgical skills of obstetric and gynecologic residents in a bench laboratory setting: validity and reliability. Ymob. 2001;184(7):1462–8.
Kenney PA, Wszolek MF, Gould JJ, Libertino JA, Moinzadeh A. Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery. Urology. 2009;73(6):1288–92.
Hung AJ, Zehnder P, Patil MB, Cai J, Ng CK, Aron M, et al. Face, content and construct validity of a novel robotic surgery simulator. J Urol. 2011;186(3):1019–24.
Hung AJ, Patil MB, Zehnder P, Cai J, Ng CK, Aron M, et al. Concurrent and predictive validation of a novel robotic surgery simulator: a prospective, randomized study. J Urol. 2012;187(2):630–7.
Schreuder HWR, Wolswijk R, Zweemer RP, Schijven MP, Verheijen RHM. Training and learning robotic surgery, time for a more structured approach: a systematic review. BJOG. 2012;119(2):137–49.
http://www.robotictraining.org. Accessed 1 Jan 14.
Kahol K, Satava R, Ferrara J, Smith ML. The effect of short term pre-trial practice on surgical proficiency in simulated environments: a randomized trial of ‘pre-operative warm-up” effect. J Am Coll Surg. 2008;208:255–68.
Guseila LM, Saranathan A, Jenison EL, Gil KM, Elias JJ. Training to maintain surgical skills during periods of robotic surgery inactivity. Int J Med Robot. 2014;10(2):237–43.
Forest C, Delingette H, Ayache N. Cutting simulation of manifold volumetric meshes. In Medical Image Computing and Computer-Assisted Intervention (MICCAI’02), Lecture notes in computer science (LNCS), Tokyo, Japan, vol 2488. 2002. p. 235–84
Forest C, Delingette H, Ayache N. Removing tetrahedra from a manifold mesh. In Computer Animation (CA’02). Geneva: IEEE Computer Society; 2002. p. 225–9.
Vayssiere C, Forest C, Comas O. A virtual reality system based on patient imaging data for hands-on simulation and automatic evaluation of ultrasound examination and amniocentesis. Am J Obstet Gynecol. 2006;195 Suppl 1:S171.
Soler L, Marescaux J. Patient-specific surgical simulation. World J Surg. 2008;32(2):208–12.
Sun LW, Van Meer F, Schmid J, Bailly Y, Thakre AA, Yeung CK. Advanced da Vinci Surgical System simulator for surgeon training and operation planning. Int J Med Robot. 2007;3(3):245–51.
Woelk JL, Casiano ER, Weaver AL, Gostout BS, Trabuco EC, Gebhart JB. The learning curve of robotic hysterectomy. Obstet Gynecol. 2013;121(1):87–95.
Augestad KM, Bellika JG, Budrionis A, Chomutare T, Lindsetmo RO, Patel H, et al. Surgical telementoring in knowledge translation–clinical outcomes and educational benefits: a comprehensive review. Surg Innov. 2013;20(3):273–81.
Challacombe B, Wheatstone S. Telementoring and telerobotics in urological surgery. Curr Urol Rep. 2010;11(1):22–8.
Marescaux J, Leroy J, Rubino F, Smith M, Vix M, Simone M, et al. Transcontinental robot-assisted remote telesurgery: feasibility and potential applications. Ann Surg. 2002;235:300–1.
Anvaria M, McKinley C, Stein H. Establishment of the world’s first telerobotic remote surgical service: for provision of advanced laparoscopic surgery in a rural community. Ann Surg. 2005;241:460–4.
Nguan CY, Morady R, Wang C, Harrison D, Browning D, Rayman R, et al. Robotic pyeloplasty using internet protocol and satellite network based telesurgery. Int J Med Robot. 2008;4:10–4.
Rayman R, Croome K, Galbraith N, McClure R, Morady R, Peterson S, et al. Robotic telesurgery: a real world comparison of ground and satellite-based Internet performance. Int J Med Robot. 2007;3:111–6.
Perez M, Quiaios F, Andrivon P, Husson D, Dufaut M, Felblinger J, et al. Paradigms and experimental set-up for the determination of the acceptable delay in telesurgery. Conf Proc IEEE Eng Med Biol Soc. 2007;1:453–6.
Anvari M, Broderick T, Stein H, Chapman T, Ghodoussi M, Birch DW, et al. The impact of latency on surgical precision and task completion during robotic-assisted remote telepresence surgery. Comput Aided Surg. 2005;10(2):93–9.
Marcus H, Nandi D, Darzi A, Yang G-Z. Surgical robotics through a keyhole: from today's translational barriers to tomorrow’s “disappearing” robots. IEEE Trans Biomed Eng. 2013;60(3):674–81.
Vitiello V, Lee S-L, Cundy TP, Yang G-Z. Emerging robotic platforms for minimally invasive surgery. IEEE Rev Biomed Eng. 2013;6:111–26.
http://www.titanmedicalinc.com/product. Accessed 1 Jan 2014.
Ding J, Goldman RE, Xu K, Allen PK, Fowler DL, Simaan N. Design and coordination kinematics of an insertable robotic effectors platform for single-port access surgery. IEEE ASME Trans Mechatron. 2013; 18(5):1612–24.
http://www.medrobotics.com/technology.html. Accessed 1 Jan 2014.
Ota T, Degani A, Schwartzman D, Zubiate B, McGarvey J, Choset H, et al. A highly articulated robotic surgical system for minimally invasive surgery. Annals Thoracic Surg. 2009;87(4):1253–6.
Rivera-Serrano CM, Johnson P, Zubiate B, Kuenzler R, Choset H, Zenati M, et al. A transoral highly flexible robot: novel technology and application. Laryngoscope. 2012;122(5):1067–71.
Hagn U, Konietschke R, Tobergte A, Nickl M, Jörg S, Kübler B, et al. DLR MiroSurge: a versatile system for research in endoscopic telesurgery. Int J Comput Assist Radiol Surg. 2010;5(2):183–93.
Konietschke R, Hagn U, Nickl M, Jorg S, Tobergte A, Passig G, et al. The DLR MiroSurge-a robotic system for surgery. 2009 IEEE International Conference on Robotics and Automation; Kobe International Conference Center; Kobe Japan, May 12–17, 2009.
Tiwari MM, Reynoso JF, Lehman AC, Tsang AW, Farritor SM, Oleynikov D. In vivo miniature robots for natural orifice surgery: state of the art and future perspectives. World J Gastrointest Surg. 2010;2(6):217–23.
Shah BC, Buettner SL, Lehman AC, Farritor SM, Oleynikov D. Miniature in vivo robotics and novel robotic surgical platforms. Urol Clin N Am. 2009;36(2):251–63.
Tan GY, Goel RK, Kaouk JH, Tewari AK. Technological advances in robotic-assisted laparoscopic surgery. Urol Clin N Am. 2009;36(2):237–49.
Sutherland GR, Latour I, Greer AD, Fielding T, Feil G, Newhook P. An image-guided magnetic resonance-compatible surgical robot. Neurosurgery. 2008;62(2):286–92.
Sutherland GR, Wolfsberger S, Lama S, Zareinia K. The evolution of neuroArm. Neurosurgery. 2013;72 Suppl 1:27–32.
Ohta T, Kuroiwa T. Freely movable armrest for microneurosurgery: technical note. Neurosurgery. 2000;46(5):1259–61.
Goto T, Hongo K, Yako T, Hara Y, Okamoto J, Toyoda K, et al. The concept and feasibility of EXPERT: intelligent armrest using robotics technology. Neurosurgery. 2013;72 Suppl 1:39–42.
Haber G-P, Crouzet S, Kamoi K, Berger A, Aron M, Goel R, et al. Robotic NOTES (Natural Orifice Translumenal Endoscopic Surgery) in reconstructive urology: initial laboratory experience. Urology. 2008;71(6):996–1000.
Petroni G, Niccolini M, Menciassi A, Dario P, Cuschieri A. A novel intracorporeal assembling robotic system for single-port laparoscopic surgery. Surg Endosc. 2013;27(2):665–70.
Petroni G, Niccolini M, Caccavaro S, Quaglia C, Menciassi A, Schostek S, et al. A novel robotic system for single-port laparoscopic surgery: preliminary experience. Surg Endosc. 2013;27(6):1932–7.
Low SC, Tang SW, Thant ZM, Phee L, Ho KY, Chung SC. Master–slave robotic system for therapeutic gastrointestinal endoscopic procedures. Conf Proc IEEE Eng Med Biol Soc. 2006;1:3850–3.
Phee SJ, Ho KY, Lomanto D, Low SC, Huynh VA, Kencana AP, et al. Natural orifice transgastric endoscopic wedge hepatic resection in an experimental model using an intuitively controlled master and slave transluminal endoscopic robot (MASTER). Surg Endosc. 2010;24(9):2293–8.
Wang Z, Phee SJ, Lomanto D, Goel R, Rebala P, Sun ZL, et al. Endoscopic submucosal dissection of gastric lesions by using a master and slave transluminal endoscopic robot: an animal survival study. Endoscopy. 2012;44(7):690–4.
Ho K-Y, Phee SJ, Shabbir A, Low SC, Huynh VA, Kencana AP, et al. Endoscopic submucosal dissection of gastric lesions by using a Master and Slave Transluminal Endoscopic Robot (MASTER). Gastrointest Endosc. 2010;72(3):593–9.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Roulette, G.D., Curet, M.J. (2015). Future Directions and Alternate Systems for Robotic Surgery. In: Kroh, M., Chalikonda, S. (eds) Essentials of Robotic Surgery. Springer, Cham. https://doi.org/10.1007/978-3-319-09564-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-09564-6_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09563-9
Online ISBN: 978-3-319-09564-6
eBook Packages: MedicineMedicine (R0)