Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot - Couverture souple

Bihlmaier, Andreas

 
9783658149130: Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Synopsis

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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À propos de l?auteur

Andreas Bihlmaier is leader of the Cognitive Medical Technologies group in the Institute for Anthropomatics and Robotics - Intelligent Process Control and Robotics Lab (IAR-IPR) at the Karlsruhe Institute of Technology (KIT). His research focuses on cognitive surgical robotics for minimally-invasive surgery, as part of the SFB/Transregio 125 "Cognition-Guided Surgery".

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783658149154: Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Edition présentée

ISBN 10 :  3658149159 ISBN 13 :  9783658149154
Editeur : Springer Vieweg, 2016
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