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Titlebook: Robotics, Vision and Control; Fundamental Algorith Peter Corke Textbook 20111st edition Springer-Verlag GmbH Germany, part of Springer Natu

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發(fā)表于 2025-3-21 19:44:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Robotics, Vision and Control
副標(biāo)題Fundamental Algorith
編輯Peter Corke
視頻videohttp://file.papertrans.cn/832/831242/831242.mp4
概述processing, feature extraction and epipolar geometry, then bring it all together in a visual servo system.Tutorial introduction to robotics and vision.Easy to read and absorb, including Matlab example
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Robotics, Vision and Control; Fundamental Algorith Peter Corke Textbook 20111st edition Springer-Verlag GmbH Germany, part of Springer Natu
描述.The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for?robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself..The purpose of this book is to expand on the tutorial material provided with the? toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is
出版日期Textbook 20111st edition
關(guān)鍵詞Matlab; Robotics; Robotics Toolbox; Vision; Vision Toolbox
版次1
doihttps://doi.org/10.1007/978-3-642-20144-8
isbn_ebook978-3-642-20144-8Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2011
The information of publication is updating

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Navigation a light source. Today more than 5 million Roomba vacuum cleaners are cleaning floors without using any map of the rooms they work in. The robots work by making random moves and sensing only that they have made contact with an obstacle.
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Using Multiple Imagese need additional information. In Sect. 11.2.3 the additional information was camera calibration parameters plus a geometric object model, and this allowed us to estimate the object’s 3-dimensional pose from the 2-dimensional image data.
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Localizationstant orbiting satellites. This means that GPS cannot work where there is no . radio reception, for instance indoors, underwater, underground, in urban canyons or in deep mining pits. GPS signals are also extremely weak and can be easily jammed and this is not acceptable for some applications.
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Representing Position and Orientationtor, also known as a bound vector, as shown in Fig. 2.1a. The vector represents the displacement of the point with respect to some reference coordinate frame. A coordinate frame, or Cartesian coordinate system, is a set of orthogonal axes which intersect at a point known as the origin.
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Mobile Robot Vehiclesace. Quadrotors are becoming increasing popular as a robot platform since they can be quite easily modelled and controlled..However before we start to discuss these two robot platforms it will be helpful to consider some general, but important, concepts regarding mobility.
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