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

Andreas Bihlmaier

ISBN 10: 3658149132 / ISBN 13: 9783658149130

Edité par Springer, 2016

Learning Dynamic Spatial Relations | The Case of a Knowledge-based Endoscopic Camera Guidance Robot | Andreas Bihlmaier | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783658149130 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 103667107

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.

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".

Détails bibliographiques

Titre : Learning Dynamic Spatial Relations | The ...
Éditeur : Springer
Date d'édition : 2016
Reliure : Taschenbuch
Etat : Neu