000 03467nam a22004935i 4500
001 978-3-658-14914-7
003 DE-He213
005 20200420220215.0
007 cr nn 008mamaa
008 160812s2016 gw | s |||| 0|eng d
020 _a9783658149147
_9978-3-658-14914-7
024 7 _a10.1007/978-3-658-14914-7
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aBihlmaier, Andreas.
_eauthor.
245 1 0 _aLearning Dynamic Spatial Relations
_h[electronic resource] :
_bThe Case of a Knowledge-based Endoscopic Camera Guidance Robot /
_cby Andreas Bihlmaier.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2016.
300 _aXV, 267 p. 120 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aEndoscope 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 _aAndreas 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".
650 0 _aComputer science.
650 0 _aMinimally invasive surgery.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMinimally Invasive Surgery.
650 2 4 _aPattern Recognition.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783658149130
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-658-14914-7
912 _aZDB-2-SCS
942 _cEBK
999 _c51523
_d51523