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portada Learning Dynamic Spatial Relations: The Case of a Knowledge-Based Endoscopic Camera Guidance Robot
Type
Physical Book
Publisher
Author
Language
English
Pages
282
Format
Paperback
ISBN13
9783658149130
Edition No.
1

Learning Dynamic Spatial Relations: The Case of a Knowledge-Based Endoscopic Camera Guidance Robot

Andreas Bihlmaier (Author) · Springer Vieweg · Paperback

Learning Dynamic Spatial Relations: The Case of a Knowledge-Based Endoscopic Camera Guidance Robot - Andreas Bihlmaier

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Synopsis "Learning Dynamic Spatial Relations: The Case of a Knowledge-Based Endoscopic Camera Guidance Robot"

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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