東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Control of multiple robots using vis...

Aranda, Miguel.

FindBook

Google Book

Amazon

博客來

Control of multiple robots using vision sensors

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control of multiple robots using vision sensors/ by Miguel Aranda, Gonzalo Lopez-Nicolas, Carlos Sagues.
作者:	Aranda, Miguel.
其他作者:	Lopez-Nicolas, Gonzalo.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiii, 187 p. :ill., digital ;24 cm.
內容註:	Introduction -- Angle-based Navigation using the 1D Trifocal Tensor -- Vision-based Control for Nonholonomic Vehicles -- Controlling Mobile Robot Teams from 1D Homographies -- Control of Mobile Robot Formations using Aerial Cameras -- Coordinate-free Control of Multirobot Formations -- Conclusions and Directions for Future Research.
Contained By:	Springer eBooks
標題:	Robots - Control systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-57828-6
ISBN:	9783319578286

Control of multiple robots using vision sensors
Aranda, Miguel.

Control of multiple robots using vision sensors[electronic resource] /by Miguel Aranda, Gonzalo Lopez-Nicolas, Carlos Sagues. - Cham :Springer International Publishing :2017. - xiii, 187 p. :ill., digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

Introduction -- Angle-based Navigation using the 1D Trifocal Tensor -- Vision-based Control for Nonholonomic Vehicles -- Controlling Mobile Robot Teams from 1D Homographies -- Control of Mobile Robot Formations using Aerial Cameras -- Coordinate-free Control of Multirobot Formations -- Conclusions and Directions for Future Research.

This monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of: a method for visual robot homing based on a memory of omni-directional images a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs an algorithm to recover a generic motion between two 1-d views and which does not require a third view a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots and three coordinate-free methods for decentralized mobile robot formation stabilization. The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors. Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors. Advances in industrial control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

ISBN: 9783319578286

Standard No.: 10.1007/978-3-319-57828-6doiSubjects--Topical Terms:

667305
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.8

Control of multiple robots using vision sensors
LDR:03205nmm a2200325 a 4500 001 2100516
003 DE-He213
005 20171227091426.0
006 m d
007 cr nn 008maaau
008 180119s2017 gw s 0 eng d
020 $a 9783319578286 $q (electronic bk.)
020 $a 9783319578279 $q (paper)
024 7 $a 10.1007/978-3-319-57828-6 $2 doi
035 $a 978-3-319-57828-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.35
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 629.8 $2 23
090 $a TJ211.35 $b .A662 2017
100 1 $a Aranda, Miguel. $3 3242259
245 1 0 $a Control of multiple robots using vision sensors $h [electronic resource] / $c by Miguel Aranda, Gonzalo Lopez-Nicolas, Carlos Sagues.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 187 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 1430-9491
505 0 $a Introduction -- Angle-based Navigation using the 1D Trifocal Tensor -- Vision-based Control for Nonholonomic Vehicles -- Controlling Mobile Robot Teams from 1D Homographies -- Control of Mobile Robot Formations using Aerial Cameras -- Coordinate-free Control of Multirobot Formations -- Conclusions and Directions for Future Research.
520 $a This monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of: a method for visual robot homing based on a memory of omni-directional images a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs an algorithm to recover a generic motion between two 1-d views and which does not require a third view a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots and three coordinate-free methods for decentralized mobile robot formation stabilization. The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors. Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors. Advances in industrial control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 $a Robots $x Control systems. $3 667305
650 1 4 $a Engineering. $3 586835
650 2 4 $a Control. $3 1006321
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Robotics and Automation. $3 1066695
700 1 $a Lopez-Nicolas, Gonzalo. $3 3242260
700 1 $a Sagues, Carlos. $3 2059400
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in industrial control. $3 1566025
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57828-6
950 $a Engineering (Springer-11647)