Learning Dynamic Spatial Relations: The Case Of A Knowledge-based Endoscopic Camera Guidance Robot by Andreas BihlmaierLearning Dynamic Spatial Relations: The Case Of A Knowledge-based Endoscopic Camera Guidance Robot by Andreas Bihlmaier

Learning Dynamic Spatial Relations: The Case Of A Knowledge-based Endoscopic Camera Guidance Robot

byAndreas Bihlmaier

Paperback | August 18, 2016

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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.

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/Transreg...
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Title:Learning Dynamic Spatial Relations: The Case Of A Knowledge-based Endoscopic Camera Guidance RobotFormat:PaperbackDimensions:267 pages, 21 × 14.8 × 0.17 inPublished:August 18, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3658149132

ISBN - 13:9783658149130

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Table of Contents

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).