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Learning Dynamic Spatial Relations : The Case of a Knowledge-based Endoscopic Camera Guidance Robot

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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.

Genre: Computers + Internet
Format: Paperback
Publisher: Springer Verlag
Author: Andreas Bihlmaier
Language: English
Street Date: September 12, 2016
TCIN: 51552534
UPC: 9783658149130
Item Number (DPCI): 248-23-9469

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