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Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot Andreas Bihlmaier 1st ed. 2016 edition
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Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Andreas Bihlmaier
Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. 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.
282 pages, 120 black & white illustrations, biography
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