語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Learning dynamic spatial relationsth...
~
Bihlmaier, Andreas.
Learning dynamic spatial relationsthe case of a knowledge-based endoscopic camera guidance robot /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Learning dynamic spatial relationsby Andreas Bihlmaier.
其他題名:
the case of a knowledge-based endoscopic camera guidance robot /
作者:
Bihlmaier, Andreas.
出版者:
Wiesbaden :Springer Fachmedien Wiesbaden :2016.
面頁冊數:
xv, 267 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Surgical robots.
電子資源:
http://dx.doi.org/10.1007/978-3-658-14914-7
ISBN:
9783658149147$q(electronic bk.)
Learning dynamic spatial relationsthe case of a knowledge-based endoscopic camera guidance robot /
Bihlmaier, Andreas.
Learning dynamic spatial relations
the case of a knowledge-based endoscopic camera guidance robot /[electronic resource] :by Andreas Bihlmaier. - Wiesbaden :Springer Fachmedien Wiesbaden :2016. - xv, 267 p. :ill., digital ;24 cm.
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)
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".
ISBN: 9783658149147$q(electronic bk.)
Standard No.: 10.1007/978-3-658-14914-7doiSubjects--Topical Terms:
275923
Surgical robots.
LC Class. No.: RD73.S785
Dewey Class. No.: 617.9178
Learning dynamic spatial relationsthe case of a knowledge-based endoscopic camera guidance robot /
LDR
:02825nmm a2200325 a 4500
001
495980
003
DE-He213
005
20160812150325.0
006
m d
007
cr nn 008maaau
008
170323s2016 gw s 0 eng d
020
$a
9783658149147$q(electronic bk.)
020
$a
9783658149130$q(paper)
024
7
$a
10.1007/978-3-658-14914-7
$2
doi
035
$a
978-3-658-14914-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RD73.S785
072
7
$a
UYQ
$2
bicssc
072
7
$a
TJFM1
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
617.9178
$2
23
090
$a
RD73.S785
$b
B594 2016
100
1
$a
Bihlmaier, Andreas.
$3
758212
245
1 0
$a
Learning dynamic spatial relations
$h
[electronic resource] :
$b
the case of a knowledge-based endoscopic camera guidance robot /
$c
by Andreas Bihlmaier.
260
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Vieweg,
$c
2016.
300
$a
xv, 267 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
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
$a
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".
650
0
$a
Surgical robots.
$3
275923
650
0
$a
Endoscopic surgery.
$3
384703
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Minimally Invasive Surgery.
$3
275872
650
2 4
$a
Pattern Recognition.
$3
273706
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-658-14914-7
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000132331
電子館藏
1圖書
電子書
EB RD73.S785 B594 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-658-14914-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入