Téléchargez le livre : Learning Dynamic Spatial Relations

Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Éditeur :

Springer Vieweg

Paru le : 2016-08-12

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 robo...
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Description du livre


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

Auteur
Andreas Bihlmaier
Éditeur
Springer Vieweg
Collection
n.c
Parution
2016-08-12
Pages
267 pages
EAN papier
9783658149130

Auteur(s) du livre


Defaut-Illustration Andreas Bihlmaier
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”.

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EAN PDF
9783658149147
Prix
52,74 €
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
12493 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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