Copilot Assistance Modes (CAMs) for Robotic Navigation
Overview
This research introduces a framework called Copilot Assistance Modes (CAMs) to evaluate clinician-AI collaboration in robotic endovascular navigation. An in-vitro study involving experts and students assessed six navigation modes using patient-specific vascular phantoms. Results showed that while fully autonomous navigation achieved 81% success in simulation, performance dropped to 23% in vitro. In contrast, shared-autonomy modes achieved 92-97% success rates, comparable to direct manual control (95%). The study concludes that effective clinician-AI collaboration and control allocation are more critical for reliable navigation than increasing autonomy alone, particularly given the sim-to-real domain shift.
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“tic environments. This work introduces Copilot Assistance Modes (CAMs), a framework for clinician-AI collaboration in robotic endovascular navigation spanning the autonomy spectrum from manual operation to full autonomy. In the first in-vitro user study comparing clinician-AI collaboration strategies, 11 experts and two students evaluated six navigation modes in a patient-specific vascular phantom. Objective performa”
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- arXiv Robotics — research abstractsSignalClinician-AI Collaboration in Endovascular Neurointerventions: In-Vitro User Study of Copilot Assistance Modes for Robotic Navigation Across the Autonomy Spectrum
This research introduces a framework called Copilot Assistance Modes (CAMs) to evaluate clinician-AI collaboration in robotic endovascular navigation. An in-vitro study involving experts and students assessed six navigation modes using patient-specific vascular phantoms. Results showed that while fully autonomous navigation achieved 81% success in simulation, performance dropped to 23% in vitro. In contrast, shared-autonomy modes achieved 92-97% success rates, comparable to direct manual control (95%). The study concludes that effective clinician-AI collaboration and control allocation are more critical for reliable navigation than increasing autonomy alone, particularly given the sim-to-real domain shift.
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