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Learning Dynamic Spatial Relations - The Case of a Knowledge-based Endoscopic Camera Guidance Robot (Paperback, 1st ed. 2016)

Andreas Bihlmaier

R1,408 Discovery Miles 14 080

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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.