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Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Andreas Bihlmaier (Autor)

Buch | Softcover

XV, 267 Seiten

2016 | 1st ed. 2016
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-14913-0 (ISBN)

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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/Transregio 125 “Cognition-Guided Surgery”.

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).

Erscheinungsdatum	08.10.2016
Zusatzinfo	XV, 267 p. 120 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Medizin / Pharmazie ► Medizinische Fachgebiete ► Chirurgie
Schlagworte	artificial intelligence (incl. robotics) • Computer Science • endoscope • knowledge-based assistance system • machine learning techniques • minimally-invasive surgery • Minimally Invasive Surgery • modular robotics platform • pattern recognition • trained camera assistant
ISBN-10	3-658-14913-2 / 3658149132
ISBN-13	978-3-658-14913-0 / 9783658149130
Zustand	Neuware