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. 2019 May:2019:9073-9079.
doi: 10.1109/ICRA.2019.8793658. Epub 2019 Aug 12.

Adaptive Control of Sclera Force and Insertion Depth for Safe Robot-Assisted Retinal Surgery

Affiliations

Adaptive Control of Sclera Force and Insertion Depth for Safe Robot-Assisted Retinal Surgery

Ali Ebrahimi et al. IEEE Int Conf Robot Autom. 2019 May.

Abstract

One of the significant challenges of moving from manual to robot-assisted retinal surgery is the loss of perception of forces applied to the sclera (sclera forces) by the surgical tools. This damping of force feedback is primarily due to the stiffness and inertia of the robot. The diminished perception of tool-to-eye interactions might put the eye tissue at high risk of injury due to excessive sclera forces or extreme insertion of the tool into the eye. In the present study therefore a 1-dimensional adaptive control method is customized for 3-dimensional control of sclera force components and tool insertion depth and then implemented on the velocity-controlled Johns Hopkins Steady-Hand Eye Robot. The control method enables the robot to perform autonomous motions to make the sclera force and/or insertion depth of the tool tip to follow pre-defined desired and safe trajectories when they exceed safe bounds. A robotic light pipe holding application in retinal surgery is also investigated using the adaptive control method. The implementation results indicate that the adaptive control is able to achieve the imposed safety margins and prevent sclera forces and insertion depth from exceeding safe boundaries.

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Figures

Fig. 1.
Fig. 1.
Johns Hopkins Steady-Hand Eye Robot with its five degrees of freedom shown with red marks, spatial coordinate frame at the robot base and the body coordinate frame at the RCM point (a) representation of the x and y components of the sclera force in the body frame (fsx and fsy) and the tool insertion depth (b)
Fig. 2.
Fig. 2.
Schematic diagram for the adaptive force control of a 1-Dof velocity-controlled robot with mass m interacting with an environment with linear and unknown compliance γ.
Fig. 3.
Fig. 3.
Experimental setup including the SHER, dual force-sensing tool, interrogator, microscope and eye phantom (a), Close-up view of the eye phantom and the painted vessels on the retina (b)
Fig. 4.
Fig. 4.
Implementation of the adaptive sclera force control for sinusoidal reference trajectories, fdx = 40sin(2t) mN and fdy = −40sin(2t) mN
Fig. 5.
Fig. 5.
Variations of fsx (top) and fsy (bottom) for vessel following task, the discontinuous curves in each plot indicate the desired exponential fdx and fdy for the interval when the corresponding adaptive controller is activated (when |fsx| or |fsy| are between 100 and 70 mN). The horizontal lines of 120 mN and −120 mN are plotted in each figure.
Fig. 6.
Fig. 6.
Illustration of insertion depth adaptive control when the insertion depth exceeds 20 mm. Adaptive control is active when 17 < D < 20 mm.
Fig. 7.
Fig. 7.
Robot-assisted light pipe holding - plots for sclera force components (top) with fixed desired trajectories and insertion depth (bottom) with exponential desired trajectory.

References

    1. Taylor R, Jensen P, Whitcomb L, Barnes A, Kumar R, Stoianovici D, Gupta P, Wang Z, Dejuan E, and Kavoussi L, “A steady-hand robotic system for microsurgical augmentation,” The International Journal of Robotics Research, vol. 18, no. 12, pp. 1201–1210, 1999.
    1. Fleming I, Balicki M, Koo J, Iordachita I, Mitchell B, Handa J, Hager G, and Taylor R, “Cooperative robot assistant for retinal microsurgery,” in International conference on medical image computing and computer-assisted intervention. Springer, 2008, pp. 543–550. - PubMed
    1. Gijbels A, Wouters N, Stalmans P, Van Brussel H, Reynaerts D, and Vander Poorten E, “Design and realisation of a novel robotic manipulator for retinal surgery,” in Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. IEEE, 2013, pp. 3598–3603.
    1. Wei W, Goldman R, Simaan N, Fine H, and Chang S, “Design and theoretical evaluation of micro-surgical manipulators for orbital manipulation and intraocular dexterity,” in Robotics and Automation, 2007 IEEE International Conference on. IEEE, 2007, pp. 3389–3395.
    1. Nasseri MA, Eder M, Nair S, Dean E, Maier M, Zapp D, Lohmann CP, and Knoll A, “The introduction of a new robot for assistance in ophthalmic surgery,” in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013, pp. 5682–5685. - PubMed

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