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Learning Dynamic Spatial Relations by Bihlmaier Andreas (16 results)
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Condition: As New. Unread book in perfect condition.
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Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.34
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Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Language: English
Published by Springer Vieweg 2016-08-18, 2016
ISBN 10: 3658149132 ISBN 13: 9783658149130
US$ 65.92
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Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. Condition: New.
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Learning Dynamic Spatial Relations : The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.35
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Condition: New. pp. 282 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Learning Dynamic Spatial Relations : The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.43
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Learning Dynamic Spatial Relations: The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Language: English
Published by Vieweg + Teubner Verlag, 2016
ISBN 10: 3658149132 ISBN 13: 9783658149130
US$ 90.31
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Add to basketPaperback. Condition: Brand New. 284 pages. 8.27x5.83x0.64 inches. In Stock.
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Learning Dynamic Spatial Relations : The Case of a Knowledge-based Endoscopic Camera Guidance Robot
Language: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658149132 ISBN 13: 9783658149130
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Taschenbuch. Condition: Neu. Learning Dynamic Spatial Relations | The Case of a Knowledge-based Endoscopic Camera Guidance Robot | Andreas Bihlmaier | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783658149130 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Learning Dynamic Spatial Relations
Language: English
Published by Springer Fachmedien Wiesbaden Aug 2016, 2016
ISBN 10: 3658149132 ISBN 13: 9783658149130
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch.
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Condition: New. Print on Demand pp. 282.
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Condition: New. PRINT ON DEMAND pp. 282.
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Learning Dynamic Spatial Relations
Language: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658149132 ISBN 13: 9783658149130
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of technical sciencesEndoscope Robots and Automated Camera Guidance.- Knowledge-based Cognitive Systems.- Modular Research Platform for Robot-Assisted Surgery based on ROS.- Learning of Surgical Know-how by.
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Learning Dynamic Spatial Relations
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
