Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot (Paperback)Andreas Bihlmaier (author)
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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.
Publisher: Springer Fachmedien Wiesbaden
Number of pages: 267
Weight: 374 g
Dimensions: 210 x 148 x 15 mm
Edition: 1st ed. 2016
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