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|a 9783319057835
|9 978-3-319-05783-5
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|a 10.1007/978-3-319-05783-5
|2 doi
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|a TJ212-225
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|a 629.8
|2 23
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|a Becerra, Héctor . M.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Visual Control of Wheeled Mobile Robots
|h [electronic resource] :
|b Unifying Vision and Control in Generic Approaches /
|c by Héctor . M Becerra, Carlos Sagüés.
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|a 1st ed. 2014.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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|a XII, 118 p. 49 illus., 24 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Springer Tracts in Advanced Robotics,
|x 1610-742X ;
|v 103
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|a Introduction -- Robust visual control based on the epipolar geometry -- A robust control scheme based on the trifocal tensor -- Dynamic pose-estimation for visual control -- Conclusions.
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|a Vision-based control of wheeled mobile robots is an interesting field of research from a scientific and even social point of view due to its potential applicability. This book presents a formal treatment of some aspects of control theory applied to the problem of vision-based pose regulation of wheeled mobile robots. In this problem, the robot has to reach a desired position and orientation, which are specified by a target image. It is faced in such a way that vision and control are unified to achieve stability of the closed loop, a large region of convergence, without local minima, and good robustness against parametric uncertainty. Three different control schemes that rely on monocular vision as unique sensor are presented and evaluated experimentally. A common benefit of these approaches is that they are valid for imaging systems obeying approximately a central projection model, e.g., conventional cameras, catadioptric systems and some fisheye cameras. Thus, the presented control schemes are generic approaches. A minimum set of visual measurements, integrated in adequate task functions, are taken from a geometric constraint imposed between corresponding image features. Particularly, the epipolar geometry and the trifocal tensor are exploited since they can be used for generic scenes. A detailed experimental evaluation is presented for each control scheme.
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|a Control engineering.
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|a Robotics.
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|a Automation.
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|a Artificial intelligence.
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|a Computer vision.
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|a Control, Robotics, Automation.
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|a Artificial Intelligence.
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|a Control and Systems Theory.
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|a Computer Vision.
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|a Sagüés, Carlos.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319057842
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776 |
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|i Printed edition:
|z 9783319057828
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|i Printed edition:
|z 9783319359076
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830 |
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|a Springer Tracts in Advanced Robotics,
|x 1610-742X ;
|v 103
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-05783-5
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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