Learning dynamic spatial relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

Autor*innen

• Andreas Bihlmaier

Parameter

• 284 Seiten
• 10 Lesestunden

• Lehrbücher
• Universitätslehrbücher

Mehr zum Buch

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.

• Sprache: Englisch
• Erscheinungsdatum: 2016
• Einband: Paperback