Modelling C-arm fluoroscopy and operating table kinematics via machine learning
This work presents a machine learning driven framework for data-efficient kinematic modeling and workspace optimization in modular C-arm fluoroscopy systems integrated with operating tables. A comprehensive dataset of joint configurations and end-effector poses annotated with voxelized collision sta...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2026-02-01
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| Colección: | Frontiers in Robotics and AI |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1691576/full |
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