Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery

Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery

This study introduces a Neuro-Visual Adaptive Control (NVAC) architecture designed to enhance precision and safety in robot-assisted surgery. The proposed system enables semi-autonomous guidance of the laparoscope based on image input. To achieve this, the architecture integrates the following: (1)...

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Bibliographic Details
Main Authors:	Claudio Urrea, Yainet Garcia-Garcia, John Kern, Reinier Rodriguez-Guillen
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Technologies
Subjects:	autonomous robotic surgical assistant model reference-based neuro-visual adaptive control surgical instrument detection CfC-mmRNN data-driven inverse modeling visual tracking
Online Access:	https://www.mdpi.com/2227-7080/13/4/135
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