Toward Autonomous Robotic Minimally Invasive Surgery: A Hybrid Framework Combining Task-Motion Planning and Dynamic Behavior Trees
The growing need for high levels of autonomy in Autonomous Robotic Surgery Systems (ARSS) calls for innovative approaches to reduce surgeons’ cognitive load, optimize hospital workflows, and ensure efficient task-level reasoning and adaptation during execution. This paper presents a novel...
Main Authors: | Khusniddin Fozilov, Jacinto Colan, Kosuke Sekiyama, Yasuhisa Hasegawa |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10230219/ |
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