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

• 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.

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...

Table of Contents:

• Endoscope Robots and Automated Camera Guidance
• Knowledge-based Cognitive Systems
• Modular Research Platform for Robot-Assisted Surgery based on ROS
• Learning of Surgical Know-how by Models of Spatial Relations
• Intraoperative Camera Assistance
• Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP).