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612-822-4611
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

Paperback

Medical ReferenceGeneral Computers

ISBN10: 3658149132
ISBN13: 9783658149130
Publisher: Springer Vieweg
Published: Aug 18 2016
Pages: 267
Weight: 0.75
Height: 0.60 Width: 5.83 Depth: 8.27
Language: English

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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Medical Reference