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

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Andreas Bihlmaier

Learning Dynamic Spatial Relations

Name: Learning Dynamic Spatial Relations
Price: 101.37 AUD
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ISBN: 9783658149130

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Andreas Bihlmaier

$126.95 $101.37

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English

Springer Vieweg
18 August 2016

Surgical techniques; Artificial intelligence; Pattern recognition

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.

By: Andreas Bihlmaier
Imprint: Springer Vieweg
Country of Publication: Germany
Edition: 1st ed. 2016
Dimensions: Height: 210mm, Width: 148mm, Spine: 15mm
Weight: 454g
ISBN: 9783658149130
ISBN 10: 3658149132
Pages: 267
Publication Date: 18 August 2016
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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).

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”.