Learning Dynamic Spatial Relations
Learning Dynamic Spatial Relations
Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783658149130
Condition
New
Product Description
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.
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