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Learning dynamic spatial relations
The Case of a Knowledge-based Endoscopic Camera Guidance Robot
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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.
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Learning dynamic spatial relations, Andreas Bihlmaier
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- Released
- 2016
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- Title
- Learning dynamic spatial relations
- Subtitle
- The Case of a Knowledge-based Endoscopic Camera Guidance Robot
- Language
- English
- Authors
- Andreas Bihlmaier
- Publisher
- Springer Vieweg
- Publisher
- 2016
- ISBN10
- 3658149132
- ISBN13
- 9783658149130
- Category
- University and college textbooks
- Description
- 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.