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.
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.
This book is the product of an eponymous workshop, which took place in Erfurt in May, 2012, and which has since then been supplemented with four further contributions. The topics focus on the...
Although it is agreed that the dual development of monetary integration and territorial enlargement are likely to generate profound effects on European spatial structure, in both West and East, much...
This book explores the dynamics of place, location and territories from the perspective of an experience-based economy. It offers a valuable contribution to this new approach and provides insight...
Presents a discrete in time-space universal map of relative dynamics that is used to unfold an extensive catalogue of dynamic events not previously discussed in mathematical or social science...
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