Learning Dynamic Spatial Relations
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Learning Dynamic Spatial Relations
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.
Learning Dynamic Spatial Relations
Author: Daniel Jordan
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2012-06-21
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.Daniel Jordan 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.
Learning Dynamic Spatial Relations
Author: Malcolm Jeremiah
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2017-04-12
Promising results from a complex phantom study are presented.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.