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

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 robo...

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Bibliographic Details
Main Author: Bihlmaier, Andreas (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.
Subjects:
Computer science.
Minimally invasive surgery.
Artificial intelligence.
Pattern recognition.
Computer Science.
Artificial Intelligence (incl. Robotics).
Minimally Invasive Surgery.
Pattern Recognition.
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ΒΚΠ - Πατρα: ALFd

Holdings details from ΒΚΠ - Πατρα: ALFd
Call Number: 330.01 BAU
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ΒΚΠ - Πατρα: BSC

Holdings details from ΒΚΠ - Πατρα: BSC
Call Number: 330.01 BAU
Copy 2 Available
Copy 3 Available

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