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

Bihlmaier, Andreas

Softcover

ISBN 10: 3658149132 ISBN 13: 9783658149130

Publisher: Springer Vieweg, 2016

Synopsis

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.

About this title

About the Author

Andreas Bihlmaier is leader of the Cognitive Medical Technologies group in the Institute for Anthropomatics and Robotics – Intelligent Process Control and Robotics Lab (IAR-IPR) at the Karlsruhe Institute of Technology (KIT). His research focuses on cognitive surgical robotics for minimally-invasive surgery, as part of the SFB/Transregio 125 “Cognition-Guided Surgery”.

From the Back Cover

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.

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)
  

Target Groups

• Scientists and students in the field of robotics, surgical assistance systems, cognitive and knowledge-based systems
  
• Practitioners in companies selling manually controlled robots or motorized endoscope holders
  

About the Author

Andreas Bihlmaier is leader of the Cognitive Medical Technologies group in the Institute for Anthropomatics and Robotics – Intelligent Process Control and Robotics Lab (IAR-IPR) at the Karlsruhe Institute of Technology (KIT). His research focuses on cognitive surgical robotics for minimally-invasive surgery, as part of the SFB/Transregio 125 “Cognition-Guided Surgery”.

Edition details

• Publisher: Springer Vieweg
• Publication date: 2016
• Language: English
• ISBN 10: 3658149132
• ISBN 13: 9783658149130
• Binding: Paperback
• Edition number: 1
• Number of pages: 282