Visual control of wheeled mobile robots : unifying vision and control in generic approaches /
Author / Creator: | Becerra, Héctor M., author. |
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Imprint: | Cham : Springer, 2014. |
Description: | 1 online resource (xii, 118 pages) : illustrations (some color). |
Language: | English |
Series: | Springer Tracts in Advanced Robotics, 1610-7438 ; 103 Springer tracts in advanced robotics ; 103. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11084408 |
Summary: | 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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Physical Description: | 1 online resource (xii, 118 pages) : illustrations (some color). |
ISBN: | 9783319057835 3319057839 3319057820 9783319057828 |
ISSN: | 1610-7438 ; |