Learning Dynamic Spatial Relations
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.the actuated part of the LER concentrically around the camera trocar (Fig. 2.16a). ... Basic manual control interfaces are a miniature keypad that is clipped to the instrument handle and voice commands. Long et al. ... The LER was commercialized after clinical studies (2007) with FDA approval in 2008 under the name ViKY (Vision Kontrol endoscopY) [107]. ... The authors report a similar time reduction in (simulated) emergency removal, 3 seconds for ViKY and 8 seconds for AESOP.
| Title | : | Learning Dynamic Spatial Relations |
| Author | : | Andreas Bihlmaier |
| Publisher | : | Springer - 2016-08-12 |
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