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Learning Dynamic Spatial Relations : The Case of a Knowledge-based Endoscopic Camera Guidance Robot, Paperback / softback Book

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

Paperback / softback

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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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