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- Author: Andreas Bihlmaier
- Publisher: Springer Vieweg
- Year: 2016
- Pages: 267
- ISBN-10: 3658149132
- ISBN-13: 9783658149130
- Format: 14.8 x 21 x 1.5 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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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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- Author: Andreas Bihlmaier
- Publisher: Springer Vieweg
- Year: 2016
- Pages: 267
- ISBN-10: 3658149132
- ISBN-13: 9783658149130
- Format: 14.8 x 21 x 1.5 cm, softcover
- Language: English 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.
Reviews