Learning Dynamic Spatial Relations
| Autor: | Andreas Bihlmaier |
|---|---|
| EAN: | 9783658149147 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 12.08.2016 |
| Untertitel: | The Case of a Knowledge-based Endoscopic Camera Guidance Robot |
| Kategorie: | |
| Schlagworte: | endoscope knowledge-based assistance system machine learning techniques minimally-invasive surgery modular robotics platform trained camera assistant |
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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'.
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