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Learning Dynamic Spatial Relations : The Case of a Knowledge-Based Endoscopic Camera Guidance Robot
Overview
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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Details
- ISBN-13: 9783658149130
- ISBN-10: 3658149132
- Publisher: Springer Vieweg
- Publish Date: August 2016
- Dimensions: 8.27 x 5.83 x 0.6 inches
- Shipping Weight: 0.75 pounds
- Page Count: 267
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