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Learning Dynamic Spatial Relations

The Case of a Knowledge-based Endoscopic Camera Guidance Robot

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18 August 2016
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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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    Product Details
    ISBN-13
    9783658149130
    Author
    Andreas Bihlmaier
    Publisher
    Springer Nature B.V.
    Published
    18 August 2016
    Format
    Paperback / softback

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    RRP: $93.49
    $91.62
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Learning Dynamic Spatial Relations

    RRP: $93.49
    $91.62

    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.

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