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Fine Wrist Control as a Marker of Surgical Teleoperation Expertise

Mary Kate Gale, Shujiro Shobayashi, Sangeet Satpathy, Nitsan Davidor, Ilana Nisky, Allison Okamura

arXiv:2609.27160v1cs.RO

TL;DR

The paper addresses the limited attention to user biomechanics in surgical teleoperation training and examines how upper-limb motion differs with experience. In a cylinder-transfer task, experts showed lower wrist motion during inversion trials, maintained similar upstream joint ranges, and completed those trials faster.

  • Problem

    Surgical teleoperation training typically emphasizes task outcomes rather than user behavior, while prior motor-control work has focused mainly on hand and end-effector motion.

    Source: §I · p. 1

  • Method

    The study compared upper-limb biomechanics in 27 novices and 9 experts performing cylinder transfers with and without inversion while motion trackers recorded movement.

    Source: §I · p. 1, A. Experimental Setup · p. 1, B. Methods · p. 1

  • Results

    46.8° vs. 33.3° wrist flexion/extension ROM in inversion trials for novices versus experts; experts also had lower wrist radial/ulnar deviation ROM, similar upstream ranges, and faster inversion trials.

    Source: §III · p. 2

  • Takeaways & Limitations

    The preliminary results suggest that expert teleoperators show better control of small wrist movements, particularly during complex or inverted movements.

    Source: §III · p. 2

    The task was kept simple to let novices succeed, limiting assessment of naturalistic expert motion; it also required unimanual work without clutching or camera movement.

    Source: §III · p. 2

Abstract

from arXiv · show

Unlike most intensely physical pursuits, surgical robotic teleoperation training focuses primarily on task outcomes rather than surgeon body posture or biomechanics during task completion. Toward the question of the role of biomechanics in surgical expertise, we sought to characterize the articular motion of expert teleoperators as compared to novice users. Twenty-seven novices and nine experts completed a non-medical cylinder-on-peg transfer task while their upper limb biomechanics were recorded via motion trackers. During more difficult motions, experts stabilized their wrist motion more than novices, while maintaining adequate range of motion in their shoulder and elbow and completing the task significantly faster than novices. This marker of expertise suggests the importance of attention to user biomechanics during teleoperation of surgical robots.

I. INTRODUCTION

The paper examines how expertise relates to upper-limb biomechanics during robotic teleoperation, addressing prior work’s focus on hand and end-effector motion. It reports that experts move their shoulders and elbows similarly to novices but control wrist motion better during difficult movements.

  • Robotic surgery training typically emphasizes task outcomes and offline feedback rather than user behavior that may influence those outcomes.Source: §I · p. 1
  • Earlier work found that experts coordinate joint angles to stabilize hand movements, especially during teleoperation, but focused mainly on hand and end-effector motion.Source: §I · p. 1
  • Experts move their shoulders and elbows similarly to novices but show better wrist control during more difficult movements.Source: §I · p. 1

A. Experimental Setup

Participants used a da Vinci Research Kit to transfer cylinders between pegs while motion trackers recorded upper-limb movement.

  • The cylinder-on-peg task used four center cylinders and eight illuminated outer pegs to indicate target placement.Source: A. Experimental Setup · p. 1
  • Four six-degree-of-freedom IMU- and vision-based trackers recorded articular motion from the participant’s back and right arm.Source: A. Experimental Setup · p. 1
  • The setup paired a da Vinci S surgeon-side console with da Vinci Si patient-side arms and bipolar fenestrated forceps.Source: A. Experimental Setup · p. 1

B. Methods

The study compared novices without surgical or medical experience with experienced robotic surgeons performing direct and inversion transfers under a shared task protocol.

  • The analysis included 27 novices and 9 robotic surgeons with more than 250 hours of laparoscopic teleoperated surgical experience.Source: B. Methods · p. 1
  • Participants completed forty trials in two twenty-trial blocks, moving cylinders directly for blue-light trials and inverting them for white-light trials.Source: B. Methods · p. 1
  • Figure 2 groups participant-average range of motion by expertise, trial type, and wrist or forearm movement.Source: Figure 2 · p. 2
  • Novices were advised to invert the forceps before grasping; experts received the advice but could choose their preferred method, and all aimed for quick, smooth completion.Source: B. Methods · p. 2
  • The workspace let participants reach and view all required locations without moving the camera or clutching the surgeon-side arm.Source: B. Methods · p. 2

C. Data Analysis

The analysis derived upper-limb joint motion from tracker data, calculated range of motion for each trial, and compared experts with novices by trial type.

  • Kinematic, video, tracker-position, and trial-timing streams were collected; a trial ran from cylinder lift to placement.Source: C. Data Analysis · p. 2
  • OpenSim inverse kinematics converted tracker movement into seven shoulder, elbow, wrist, and forearm degrees of freedom.Source: C. Data Analysis · p. 2
  • Range of motion used the 5th and 95th percentiles of joint angle, and Mann–Whitney U tests compared group averages within trial types at p < 0.05.Source: C. Data Analysis · p. 2

III. PRELIMINARY RESULTS AND DISCUSSION

In more difficult inversion trials, experts used less wrist motion than novices, while upper-limb motion upstream of the wrist was broadly similar between groups. Experts also completed inversion trials faster, though the simplified task constrained assessment of naturalistic expert motion.

III. PRELIMINARY RESULTS AND DISCUSSION

  • Novices had higher wrist flexion/extension ROM (46.8° vs. 33.3°; p = 0.020) and radial/ulnar deviation ROM (34.0° vs. 24.7°; p = 0.017) than experts in inversion trials.These group differences did not appear for wrist flexion/extension in non-inversion trials (10.1° vs. 10.6°; p = 0.812).Source: §III · p. 2
  • Forearm pronation/supination ROM was similar between groups in non-inversion trials (9.9° vs. 12.2°; p = 0.391) and inversion trials (80.4° vs. 80.6°; p = 0.898), while both groups had higher elbow flexion/extension and shoulder elevation ROM in inversion trials.Shoulder axial rotation and plane of elevation were also somewhat higher in inversion trials for both groups.Source: §III · p. 2
  • Experts completed inversion trials faster than novices (6.7 s vs. 9.0 s; p = 0.012).Non-inversion trials showed a nonsignificant trend toward faster expert completion (4.8 s vs. 5.9 s; p = 0.093).Source: §III · p. 2
  • The task was kept simple enough for novices to succeed, limiting assessment of naturalistic expert motion.Experts also expressed frustration with the unimanual requirement, inability to clutch, and inability to move the camera to view the board’s back.Source: §III · p. 2
  • The preliminary findings point to wrist control during complex or inverted movements as a potential focus for biomechanically aware novice training.The authors suggest future work could consider training paradigms that focus on wrist stabilization in these movements.Source: §III · p. 2
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