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Cooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study (2312.01631v1)

Published 4 Dec 2023 in cs.RO

Abstract: A surgeon's physiological hand tremor can significantly impact the outcome of delicate and precise retinal surgery, such as retinal vein cannulation (RVC) and epiretinal membrane peeling. Robot-assisted eye surgery technology provides ophthalmologists with advanced capabilities such as hand tremor cancellation, hand motion scaling, and safety constraints that enable them to perform these otherwise challenging and high-risk surgeries with high precision and safety. Steady-Hand Eye Robot (SHER) with cooperative control mode can filter out surgeon's hand tremor, yet another important safety feature, that is, minimizing the contact force between the surgical instrument and sclera surface for avoiding tissue damage cannot be met in this control mode. Also, other capabilities, such as hand motion scaling and haptic feedback, require a teleoperation control framework. In this work, for the first time, we implemented a teleoperation control mode incorporated with an adaptive sclera force control algorithm using a PHANTOM Omni haptic device and a force-sensing surgical instrument equipped with Fiber Bragg Grating (FBG) sensors attached to the SHER 2.1 end-effector. This adaptive sclera force control algorithm allows the robot to dynamically minimize the tool-sclera contact force. Moreover, for the first time, we compared the performance of the proposed adaptive teleoperation mode with the cooperative mode by conducting a vessel-following experiment inside an eye phantom under a microscope.

Citations (2)

Summary

  • The paper demonstrates that adaptive sclera force control significantly reduces harmful tool-sclera contact forces during delicate retinal surgeries.
  • It compares cooperative and teleoperation modes, highlighting teleoperation's benefits such as motion scaling and haptic feedback for improved precision.
  • Experimental evaluations on eye phantom models confirmed lower mean and maximum sclera forces, ensuring safer surgical performance.

Cooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study

The paper under review focuses on the implementation and comparative analysis of cooperative and teleoperation control modes in the Steady Hand Eye Robot (SHER) 2.1, particularly targeting its application in retinal surgeries. The primary objective is to control hand tremor and minimize contact forces between the surgical tool and sclera, thereby enhancing the precision and safety of delicate retinal procedures. The implementation of a teleoperation control mode integrated with adaptive sclera force control is a novel contribution of this paper, representing a significant step in robotic-assisted ophthalmic surgery.

Overview of SHER 2.1 and Control Modes

The Steady Hand Eye Robot (SHER) is a 5-DoF robotic manipulator designed for precise surgical tasks in ophthalmology. The robot employs two control modes: cooperative and teleoperation. The cooperative mode operates on an admittance control principle, where the robot filters the surgeon's hand tremor and translates their manual input into refined movements. However, this mode fails to maintain safe tool-sclera interaction forces, potentially compromising tissue integrity. The need for precise control of these forces is underscored by the anatomical constraints, such as the retinal vein's diameter (~150 µm) and the RMS value of hand tremor (~182 µm).

Conversely, the teleoperation mode, facilitated by the PHANTOM Omni haptic device, offers advanced features such as hand motion scaling and haptic feedback, which are pivotal for enhancing positioning accuracy and surgeon comfort. The crux of this paper lies in integrating an adaptive sclera force control algorithm within the teleoperation mode, thereby allowing SHER to dynamically minimize scleral forces.

Implementation of Adaptive Sclera Force Control

The adaptive force control algorithm utilizes Fiber Bragg Grating (FBG) sensors to monitor and regulate the tool-sclera contact forces. The SHER end-effector's desired motion is determined by the surgeon's inputs through the haptic device, while the adaptive algorithm dynamically adjusts movements to maintain safe interaction forces below the threshold of 120 mN. This technique not only ensures patient safety but also leverages the teleoperation mode's capabilities to offer a more controlled and precise surgical experience.

Experimental Evaluation

The paper conducted a series of vessel-following experiments within an eye phantom under a surgical microscope to evaluate the performance of both control modes. Metrics such as mean and maximum sclera forces, handle force/torque, and task completion time were recorded and analyzed.

  • Sclera Force: Both adaptive control modes (cooperative and teleoperation) exhibited lower mean and maximum sclera forces compared to their non-adaptive counterparts. Specifically, the mean sclera force for the adaptive cooperative mode was 35.93 ± 8.72 mN, while for the teleoperation mode, it was 41.52 ± 13.40 mN. These metrics confirm the algorithm's efficacy in reducing potentially harmful contact forces.
  • Handle Force/Torque: The cooperative control modes recorded higher handle force and torque values due to direct surgeon manipulation. However, in teleoperation modes, these forces were significantly lower, reflecting only the scleral forces.
  • Completion Time: The cooperative modes had shorter completion times compared to the teleoperation modes, which is attributed to the direct interaction with the robot. However, the teleoperation mode's potential for motion scaling and repositioning suggests an improved surgical accuracy.

Implications and Future Directions

The findings imply that adaptive sclera force control can significantly enhance the safety and efficacy of robot-assisted retinal surgeries. The paper posits that while cooperative control modes offer quicker task completion, the teleoperation modes provide superior control over surgical precision and safety with the added benefits of advanced features like motion scaling and repositioning.

Future research could explore bilateral teleoperation frameworks where both primary and secondary surgical tools employ adaptive force control. Additionally, integrating model predictive control and haptic feedback could further refine force perception and control, providing surgeons with real-time tactile cues about scleral forces. These advancements could potentially set new benchmarks in the domain of robotic-assisted ophthalmic surgery.

In conclusion, this paper contributes substantially to the understanding and implementation of adaptive control mechanisms in teleoperated surgical robots. By effectively minimizing scleral forces while maintaining high precision, SHER 2.1 represents a promising tool in overcoming the limitations posed by human hand tremor in delicate retinal surgeries.