Abstract
This chapter reviews shared-control robots, a class of robotic device in which the surgeon and the robot simultaneously manipulate the surgical tool together. The shared-control approach seeks to exploit the superior aspects of humans and machines, to enable more precise interventions while ensuring the human surgeon retains executive control. Much of the technology discussed in this chapter is emerging research and many of the described systems have been developed for generic microsurgical interventions. Nonetheless, the broad concepts behind these surgical systems are highly applicable to neurosurgery and particularly to microsurgical procedures. We start by presenting an exemplar of a grounded, shared-control robot: the Steady-Hand system. We then review a series of handheld smart surgical devices, including Micron, a handheld tremor cancellation device. This chapter also presents handheld devices capable of augmenting haptic feedback to surgeons performing delicate neurosurgical tasks, image-guided handheld devices with embedded robotic actuation, and a new generation of handheld microscopic imaging devices for visualizing tumors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Marcus HJ, Zareinia K, Gan LS et al (2014) Forces exerted during microneurosurgery: a cadaver study. Int J Med Robot Comput Assist Surg 10:251–256
Gan LS, Zareinia K, Lama S et al (2015) Quantification of forces during a neurosurgical procedure: a pilot study. World Neurosurg 84:537–548
Zareinia K, Maddahi Y, Gan LS et al (2016) A force-sensing bipolar forceps to quantify tool-tissue interaction forces in microsurgery. IEEE/ASME Trans Mechatron 21:2365–2377
Kwoh YS, Hou J, Jonckheere EA et al (1988) A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans Biomed Eng 35:153–160
Yang GZ, Cambias J, Cleary K et al (2017) Medical robotics-regulatory, ethical, and legal considerations for increasing levels of autonomy. Sci Robot 2:2–4
Marcus H, Nandi D, Darzi A et al (2013) Surgical robotics through a keyhole: from today’s translational barriers to tomorrow’s “disappearing” robots. IEEE Trans Biomed Eng 60:674–681
Jakopec M, Harris SJ, Rodriguez y Baena F et al (2002) Preliminary results of an early clinical experience with the Acrobot™ system for total knee replacement surgery. In: Medical image computing and computer-assisted intervention (MICCAI). Springer, London, pp 256–263
Taylor R, Jensen P, Whitcomb L et al (1999) A steady-hand robotic system for microsurgical augmentation. Int J Robot Res 18:1201–1210
Kapoor A, Kumar R, Taylor RH (2003) Simple biomanipulation tasks with “steady hand” cooperative manipulator. In: Medical image computing and computer-assisted intervention (MICCAI), pp 141–148
Payne CJ, Yang GZ (2014) Hand-held medical robots. Ann Biomed Eng 42:1594–1605
Elble RJ, Koller WC (1990) The physiology of normal tremor. In: Tremor. The Johns Hopkins University Press, Baltimore, MD
MacLachlan RA, Becker BC, Cuevas Tabares J et al (2012) Micron: an actively stabilized handheld tool for microsurgery. IEEE Trans Robot 28:195–212
Latt WT, Tan U, Shee CY, et al (2009) A compact hand-held active physiological tremor compensation instrument. IEEE/ASME Int Conf Adv Intell Mechatronics 711–716
Saxena A, Patel R V. (2013) An active handheld device for compensation of physiological tremor using an ionic polymer metallic composite actuator. IEEE Int Conf Intell Robot Syst 4275–4280
Chang D, Gu GM, Kim J (2013) Design of a novel tremor suppression device using a linear delta manipulator for micromanipulation. IEEE/RSJ Int Conf Intell Robot Syst 413–418
Song C, Gehlbach PL, Kang JU (2012) Active tremor cancellation by a “Smart” handheld vitreoretinal microsurgical tool using swept source optical coherence tomography. Opt Express 20:3315–3317
Riviere CN, Ang WT, Khosla PK (2003) Toward active tremor canceling in handheld microsurgical instruments. IEEE Trans Robot Autom 19:793–800
Yang S, MacLachlan RA, Riviere CN (2015) Manipulator design and operation of a six-degree-of-freedom handheld tremor-canceling microsurgical instrument. IEEE/ASME Trans Mechatron 20:761–772
MacLachlan RA, Riviere CN (2008) High-speed microscale optical tracking using digital fequency-domain multiplexing. IEEE Trans Instrum Meas 58(6):1991–2001
Yang S, Martel JN, Lobes LA et al (2018) Techniques for robot-aided intraocular surgery using monocular vision. Int J Robot Res 37:931–952
Becker BC, Voros S, MacLachlan RA, et al (2009) Active guidance of a handheld micromanipulator using visual servoing. IEEE Int Conf Robot Autom 339–344
Becker BC, MacLachlan RA, Hager GD et al (2011) Handheld micromanipulation with vision-based virtual fixtures. IEEE Int Conf Robot Autom 4127–4132
Becker BC, Voros S, Lobes LA et al (2010) Retinal vessel cannulation with an image-guided handheld robot. IEEE Eng Med Biol Soc Conf 5420–5423
Becker BC, MacLachlan RA, Lobes LA et al (2010) Semiautomated intraocular laser surgery using handheld instruments. Lasers Surg Med 42:264–273
Yang S, Lobes LA, Martel JN et al (2015) Hand-held automated microsurgical instrumentation for intraocular laser surgery. Lasers Surg Med 47:658–668
Stetten G, Wu B, Klatzky R, et al (2011) Hand-held force magnifier for surgical instruments. In: Medical image computing and computer-assisted intervention (MICCAI), pp 90–100
Lee R, Wu B, Klatzky R et al (2013) Hand-held force magnifier for surgical instruments: evolution toward a clinical device. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 7815:77–89
Payne CJ, Latt WT, Yang G (2012) A new hand-held force-amplifying device for micromanipulation. IEEE Int Conf Robot Autom 2012:1583–1588
Payne CJ (2015) Ungrounded haptic-feedback for hand-held surgical robots. https://core.ac.uk/download/pdf/77003165.pdf
Payne CJ, Marcus HJ, Yang GZ (2015) A smart haptic hand-held device for neurosurgical microdissection. Ann Biomed Eng 43:2185–2195
Marcus HJ, Payne CJ, Kailaya-Vasa A et al (2016) A “Smart” force-limiting instrument for microsurgery: laboratory and in vivo validation. PLoS One 11:1–9
Payne CJ, Rafii-Tari H, Marcus HJ et al (2014) Hand-held microsurgical forceps with force-feedback for micromanipulation. Proc IEEE Int Conf Robot Autom 284–289
Watanabe T, Koyama T, Yoneyama T et al (2017) A force-visualized silicone retractor attachable to surgical suction pipes. Sensors 17:1–18
Kane G, Eggers G, Boesecke R, et al (2009) System design of a hand-held mobile robot for craniotomy. In: Medical image computing and computer-assisted intervention (MICCAI), pp 402–409
Moccia S, Foti S, Routray A et al (2018) Toward improving safety in neurosurgery with an active handheld instrument. Ann Biomed Eng 46:1450–1464
Gras G, Marcus HJ, Payne CJ, et al (2015) Visual force feedback for hand-held microsurgical instruments. In: MICCAI, pp 480–487
Payne CJ, Kwok K, Yang G (2014) An ungrounded hand-held surgical device incorporating active constraints with force-feedback. In: IEEE/RSJ International Conference on Intelligent robots and systems (IROS), pp 2559–2565
Jabbour JM, Saldua MA, Bixler JN et al (2012) Confocal endomicroscopy: instrumentation and medical applications. Ann Biomed Eng 40:378–397
Sankar T, Delaney PM, Ryan RW et al (2010) Miniaturized handheld confocal microscopy for neurosurgery: results in an experimental glioblastoma model. Neurosurgery 66:410–418
Foersch S, Heimann A, Ayyad A et al (2012) Confocal laser endomicroscopy for diagnosis and histomorphologic imaging of brain tumors in vivo. PLoS One 7:e41760
Eschbacher J, Martirosyan NL, Nakaji P et al (2012) In vivo intraoperative confocal microscopy for real-time histopathological imaging of brain tumors. J Neurosurg 116:854–860
Zehri AH, Ramey W, Georges JF et al (2014) Neurosurgical confocal endomicroscopy: a review of contrast agents, confocal systems, and future imaging modalities. Surg Neurol Int 5:60
Latt WT, Newton RC, Visentini-Scarzanella M et al (2011) A hand-held instrument to maintain steady tissue contact during probe-based confocal laser endomicroscopy. IEEE Trans Biomed Eng 58:2694–2703
Giataganas P, Hughes M, Payne CJ et al (2019) Intraoperative robotic-assisted large-area high-speed microscopic imaging and intervention. IEEE Trans Biomed Eng 66:208–216
Hughes M, Yang G-Z (2016) Line-scanning fiber bundle endomicroscopy with a virtual detector slit. Biomed Opt Express 7:2257
Wisanuvej P, Giataganas P, Leibrandt K et al (2017) Three-dimensional robotic-assisted endomicroscopy with a force adaptive robotic arm. In: IEEE International Conference on Robotics and automation (ICRA). IEEE, New York, pp 2379–2384
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Payne, C.J., Vyas, K., Bautista-Salinas, D., Zhang, D., Marcus, H.J., Yang, GZ. (2021). Shared-Control Robots. In: Marcus, H.J., Payne, C.J. (eds) Neurosurgical Robotics. Neuromethods, vol 162. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0993-4_4
Download citation
DOI: https://doi.org/10.1007/978-1-0716-0993-4_4
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-0992-7
Online ISBN: 978-1-0716-0993-4
eBook Packages: Springer Protocols