Control of Multiple Robots Using Vision Sensors

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 platf...

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Bibliographic Details
Main Authors: Aranda, Miguel, (Author), López-Nicolás, Gonzalo, (Author), Sagüés, Carlos, (Author)
Format: eBook
Language: English
Published: Cham : Springer International Publishing : Imprint : Springer, 2017.
Series: Advances in industrial control,
Subjects:
ISBN: 9783319578286
9783319578279
Physical Description: 1 online resource (XIII, 187 pages) : 75 illustrations, 58 illustrations in color

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020 |a 9783319578286 
020 |z 9783319578279 
024 7 |a 10.1007/978-3-319-57828-6  |2 doi 
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100 1 |a Aranda, Miguel,  |e author. 
245 1 0 |a Control of Multiple Robots Using Vision Sensors /  |c by Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint :  |b Springer,  |c 2017. 
300 |a 1 online resource (XIII, 187 pages) :  |b 75 illustrations, 58 illustrations in color 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
504 |a Includes bibliographical references and index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Robots  |x Control systems. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a López-Nicolás, Gonzalo,  |e author. 
700 1 |a Sagüés, Carlos,  |e author. 
776 0 8 |i Printed edition:  |z 9783319578279 
830 0 |a Advances in industrial control,  |x 1430-9491 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-57828-6  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 100153  |d 100153