Learning Dynamic Spatial Relations (Record no. 51523)
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fixed length control field | 03467nam a22004935i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-658-14914-7 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420220215.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 160812s2016 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783658149147 |
-- | 978-3-658-14914-7 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Bihlmaier, Andreas. |
245 10 - TITLE STATEMENT | |
Title | Learning Dynamic Spatial Relations |
Sub Title | The Case of a Knowledge-based Endoscopic Camera Guidance Robot / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 267 p. 120 illus. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Endoscope 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 Models of Spatial Relations -- Intraoperative Camera Assistance -- Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP). |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. Contents Endoscope 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 Models of Spatial Relations Intraoperative Camera Assistance Evaluation Study: TME in the Open Source Heidelberg Laparoscopic Phantom (OpenHELP) Target Groups Scientists and students in the field of robotics, surgical assistance systems, cognitive and knowledge-based systems Practitioners in companies selling manually controlled robots or motorized endoscope holders About the Author Andreas Bihlmaier is leader of the Cognitive Medical Technologies group in the Institute for Anthropomatics and Robotics - Intelligent Process Control and Robotics Lab (IAR-IPR) at the Karlsruhe Institute of Technology (KIT). His research focuses on cognitive surgical robotics for minimally-invasive surgery, as part of the SFB/Transregio 125 "Cognition-Guided Surgery". |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-658-14914-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Wiesbaden : |
-- | Springer Fachmedien Wiesbaden : |
-- | Imprint: Springer Vieweg, |
-- | 2016. |
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-- | computer |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Minimally invasive surgery. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Minimally Invasive Surgery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern Recognition. |
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-- | ZDB-2-SCS |
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