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Titlebook: Visual Servoing via Advanced Numerical Methods; Graziano Chesi,Koichi Hashimoto Book 2010 Springer-Verlag London 2010 Visual Servoing.auto

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书目名称Visual Servoing via Advanced Numerical Methods
编辑Graziano Chesi,Koichi Hashimoto
视频video
概述Provides readers with extensive research in important method of robotic sensing and control.Results reported in the text are supported by video and other on-line material.Takes account of the most rec
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Visual Servoing via Advanced Numerical Methods;  Graziano Chesi,Koichi Hashimoto Book 2010 Springer-Verlag London 2010 Visual Servoing.auto
描述Robots able to imitate human beings have been at the core of stories of science?ctionaswellasdreamsofinventorsforalongtime.Amongthe various skills that Mother Nature has provided us with and that often go forgotten, the ability of sight is certainly one of the most important. Perhaps inspired by tales of Isaac Asimov, comics and cartoons, and surely helped by the progress of electronics in recent decades, researchers have progressively made the dream of creating robots able to move and operate by exploiting arti?cial vision a concrete reality. Technically speaking, we would say that these robots position themselves and their end-e?ectors by using the view provided by some arti?cial eyes as feedback information. Indeed, the arti?cial eyes are visual sensors such as cameras that have the function to acquire an image of the environment. Such an image describes if and how the robot is moving toward the goal and hence constitutes feedback information. This procedure is known in robotics with the term visual servoing, and it is nothing else than an imitation of the intrinsic mechanism that allows human beings to realize daily tasks such as reaching the door of the house or grasping a cup
出版日期Book 2010
关键词Visual Servoing; automation; calculus; computer vision; control engineering; geometry; image processing; mo
版次1
doihttps://doi.org/10.1007/978-1-84996-089-2
isbn_softcover978-1-84996-088-5
isbn_ebook978-1-84996-089-2Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag London 2010
The information of publication is updating

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A Variational Approach to Trajectory Planning in Visual Servoingrived. Path planning is formulate as a variational problem which allows to consider simultaneously optimality and inequality constraints (visibility). A numerical method is employed for solving the path-planning problem in the variational form.
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Image Measurement Errors in Visual Servoing: Estimating the Induced Positioning Erroring error introduced by image measurement errors. In particular, two methods are described, which allow one to compute upper and lower bounds of this positioning error. Some examples illustrate the proposed methods with synthetic and real data.
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Multicriteria Analysis of Visual Servos through Rational Systems, Biquadratic Lyapunov Functions, anbotics. Constructive results are finally presented, on the basis of biquadratic or piecewise-biquadratic Lyapunov functions, leading to feasibility/ optimization programs subject to linear matrix inequalities (LMIs). A case study illustrates the approach.
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Gradient Projection Methods for Constrained Image-based Visual Servof the primary task to yield motions that will honor the constraints without interfering with the performance of the primary task. The chapter reprises the development of gradient projection methods in the context of constrained visual servo control, and presents simulation results to illustrate performance of the approach.
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Human-machine Cooperative Manipulation with Vision-based Motion Constraintsily converted into control algorithms that provide virtual fixtures. As a result it is possible to create advanced human-machine cooperative manipulation systems that take complete advantage of information provided by vision, yet permit the user to retain control of essential aspects of a given task.
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Single Camera Structure and Motion Estimationor the structure. The SaM observer requires only one of the linear velocities as a feedback and identifies the states asymptotically. The linear velocity is used to derive the scene scale information. The observer gain conditions are derived to prove the stability of the proposed observers through a Lyapunov-based analysis.
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Catadioptric Stereo with Planar Mirrors: Multiple-view Geometry and Camera LocalizationCS sensors and introduce new multiple-view properties that are instrumental in addressing the camera localization problem. Original results on mirror calibration are also provided. Extensive simulation and real-data experiments conducted with an eye-in-hand robot illustrate the theory and show the effectiveness of the proposed designs.
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