Learning Dynamic Spatial Relations by Andreas Bihlmaier
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Learning Dynamic Spatial Relations

Learning Dynamic Spatial Relations


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About the Book

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 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".


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Product Details
  • ISBN-13: 9783658149130
  • Publisher: Springer Vieweg
  • Publisher Imprint: Springer Vieweg
  • Edition: 1st ed. 2016
  • Language: English
  • Returnable: Y
  • Spine Width: 15 mm
  • Weight: 394 gr
  • ISBN-10: 3658149132
  • Publisher Date: 18 Aug 2016
  • Binding: Paperback
  • Height: 210 mm
  • No of Pages: 267
  • Series Title: English
  • Sub Title: The Case of a Knowledge-Based Endoscopic Camera Guidance Robot
  • Width: 148 mm


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