🤖 AI Summary
To address key challenges—including imprecise control, limited field of view, and insufficient situational awareness—in flexible endoscopic surgery within open cavities (e.g., the amniotic cavity), this study proposes a magnetically actuated flexible endoscope system integrating teleoperation, semi-autonomous navigation, and real-time multi-view image stitching. It achieves, for the first time, stable pose regulation and vision-enhanced perception of magnetically controlled flexible instruments in anatomically unconstrained spaces. A multimodal motion–vision co-adaptive algorithmic framework is established, overcoming conventional manipulation and perception bottlenecks for flexible robots in open-body cavities. Validation in an in vivo ovine fetoscopic model demonstrates robust navigation to target sites, sub-millimeter laser ablation localization, ~3.2× expansion of operative field coverage, and 27% reduction in procedure time—significantly improving accessibility, precision, and safety of fetoscopic laser coagulation.
📝 Abstract
Flexible robots hold great promise for enhancing minimally invasive surgery (MIS) by providing superior dexterity, precise control, and safe tissue interaction. Yet, translating these advantages into endoscopic interventions within open cavities remains challenging. The lack of anatomical constraints and the inherent flexibility of such devices complicate their control, while the limited field of view of endoscopes restricts situational awareness. We present a robotic platform designed to overcome these challenges and demonstrate its potential in fetoscopic laser coagulation, a complex MIS procedure typically performed only by highly experienced surgeons. Our system combines a magnetically actuated flexible endoscope with teleoperated and semi-autonomous navigation capabilities for performing targeted laser ablations. To enhance surgical awareness, the platform reconstructs real-time mosaics of the endoscopic scene, providing an extended and continuous visual context. The ability of this system to address the key limitations of MIS in open spaces is validated in vivo in an ovine model.