Learning Dynamic Spatial Relations (Record no. 51523)

000 -LEADER
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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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
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

No items available.