Andreas Bihlmaier

Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer Fachmedien Wiesbaden / Springer Vieweg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-658-14913-0
• 1st ed. 2016
• Seitenzahl: 284
• Erscheinungstermin: 18. August 2016
• Englisch
• Abmessung: 210mm x 148mm x 16mm
• Gewicht: 371g
• ISBN-13: 9783658149130
• ISBN-10: 3658149132
• Artikelnr.: 45237638

Autorenporträt

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".

Inhaltsangabe

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