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arXiv Robotics — research abstracts· Francis Fan, Mackenzie A Eagleson, Yvonne Zhang, Hongting Pan, Lujia Yang, Ethan Kilmer, Jiawei Ge, Nural Yilmaz, Avinash Dhimal, Ahmed Ghazi, Jeffrey Jopling, Laura Connolly, Axel Krieger·· 1 days agoSignalEditorial score75

Supervised Autonomous Bimanual Suction and Cauterization for Bleeding Control in Low Grade Splenic Trauma

Supervised Autonomous Bimanual Suction and Cauterization for Bleeding Control in Low Grade Splenic Trauma

Summary

This research presents a supervised autonomous bimanual robotic framework designed for injury cauterization in low-grade splenic trauma. The system integrates real-time bleeding segmentation, markerless tool keypoint tracking, and deep tool-tissue contact detection to coordinate two robotic arms for synchronized suction and cauterization. Evaluated on a novel, cannulated ex vivo splenic hemorrhage model, the system achieved an average bleeding surface cauterization coverage of 82.9% across seven distinct injuries, demonstrating the feasibility of using supervised autonomy for targeted coagulation.

Editorial context

The study demonstrates a supervised autonomous bimanual robotic framework achieving 82.9% average bleeding surface cauterization coverage on an ex vivo splenic hemorrhage model, representing a feasibility step toward autonomous bleeding control with human oversight.

Source: arXiv Robotics — research abstracts · Read original article ↗

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n a novel, cannulated ex vivo splenic hemorrhage model, the system achieved an average bleeding surface cauterization coverage of 82.9% across seven distinct injuries. This work demonstrates the feasibility of using a supervised autonomous bimanual system to deliver targeted coagulation across an injury site.

Open source S4

arXiv:2611.00237v1 Announce Type: new Abstract: Uncontrolled hemorrhage remains a leading cause of preventable trauma mortality. Timely intervention is not always available, making autonomous systems that can aid in bleeding control a promising alternative. Given the safety-critical nature of the task, supervised autonomy, in which the system executes the technical steps while a human retains oversight, represents a

Open source S2

Source:arXiv Robotics — research abstracts · arxiv.org

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