Learning Dynamic Spatial Relations

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The Case of a Knowledge-based Endoscopic Camera Guidance Robot

ISBN: 3658149132
ISBN 13: 9783658149130
Autor: Bihlmaier, Andreas
Verlag: Springer Vieweg
Umfang: xv, 267 S., 120 s/w Illustr., 267 p. 120 illus.
Erscheinungsdatum: 18.08.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: KT

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. Contents Endoscope Robots and Automated Camera Guidance Knowledgebased Cognitive Systems Modular Research Platform for RobotAssisted Surgery based on ROS Learning of Surgical Knowhow by Models of Spatial Relations Intraoperative Camera Assistance Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP) Target Groups – Scientists and students in the field of robotics, surgical assistance systems, cognitive and knowledge-based systems Practitioners in companies selling manually controlled robots or motorized endoscope holders About the AuthorAndreas 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“.

Artikelnummer: 9549867 Kategorie:

Beschreibung

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.

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".

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