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

By Andreas Bihlmaier

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.

• Format: Paperback
• Language: English
• ISBN: 3658149132
• ISBN13: 9783658149130
• Release Date: August 2016
• Publisher: Springer Vieweg
• Length: 267 Pages
• Weight: 0.75 lbs.
• Dimensions: 0.6" x 5.8" x 8.3"