Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Paperback Engels 2016 9783658149130
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Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.

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ISBN13:9783658149130
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Fachmedien Wiesbaden

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Inhoudsopgave

Endoscope Robots and Automated Camera Guidance.- Knowledge-based Cognitive Systems.- Modular Research Platform for Robot-Assisted Surgery based on ROS.- Learning of Surgical Know-how by Models of Spatial Relations.- Intraoperative Camera Assistance.- Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP).

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          Learning Dynamic Spatial Relations