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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.
The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Details
| Verlag | Springer Fachmedien Wiesbaden GmbH |
| Ersterscheinung | 18. August 2016 |
| Maße | 21 cm x 14.8 cm |
| Gewicht | 371 Gramm |
| Format | Softcover |
| ISBN-13 | 9783658149130 |
| Auflage | 1st ed. 2016 |
| Seiten | 267 |
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