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Learning Dynamic Spatial Relations

Learning Dynamic Spatial Relations

Andreas Bihlmaier

66,33 €
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Editorial:
Springer Nature B.V.
Año de edición:
2016
Materia
Inteligencia artificial
ISBN:
9783658149130
66,33 €
IVA incluido
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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.

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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 pla...
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