Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Paperback Engels 2016 9783658149130
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

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

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Inhoudsopgave

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

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        Learning Dynamic Spatial Relations