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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