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

Andreas Bihlmaier

ISBN 10: 3658149132 / ISBN 13: 9783658149130

Editore: 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. Codice articolo 103667107

Riassunto:

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.

Informazioni sull?autore:

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”.

Dati bibliografici

Titolo: Learning Dynamic Spatial Relations | The ...
Casa editrice: Springer
Data di pubblicazione: 2016
Legatura: Taschenbuch
Condizione: Neu