Breaking Barriers in Robotic Soft Tissue Surgery: Conditional Autonomous Intestinal Anastomosis
H. Saeidi, J. D. Opfermann, M. Kam, S. Wei, S. Leonard, M. H. Hsieh,, J. U. Kang, A. Krieger

TL;DR
This paper presents the first in vivo autonomous robotic laparoscopic intestinal anastomosis, demonstrating high autonomy, improved consistency, and superior surgical outcomes compared to manual and assisted methods in porcine models.
Contribution
It introduces a novel autonomous robotic system for laparoscopic soft tissue surgery with a level 3 autonomy and demonstrates its effectiveness in live animal models.
Findings
Outperforms manual and RAS in accuracy and consistency
Achieves high-quality anastomosis in vivo
Enhances surgical safety and reliability
Abstract
Autonomous robotic surgery has the potential to provide efficacy, safety, and consistency independent of individual surgeons skill and experience. Autonomous soft-tissue surgery in unstructured and deformable environments is especially challenging as it necessitates intricate imaging, tissue tracking and surgical planning techniques, as well as a precise execution via highly adaptable control strategies. In the laparoscopic setting, soft-tissue surgery is even more challenging due to the need for high maneuverability and repeatability under motion and vision constraints. We demonstrate the first robotic laparoscopic soft tissue surgery with a level of autonomy of 3 out of 5, which allows the operator to select among autonomously generated surgical plans while the robot executes a wide range of tasks independently. We also demonstrate the first in vivo autonomous robotic laparoscopic…
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Taxonomy
TopicsSurgical Simulation and Training · Anatomy and Medical Technology · Augmented Reality Applications
