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Titlebook: Robotics, Vision and Control; Fundamental Algorith Peter Corke Textbook 2023Latest edition The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 18:48:26 | 只看該作者 |倒序瀏覽 |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/832/831240/831240.mp4
概述Serves as tutorial introduction, now in a completely revised, extended, and updated third edition.Includes a lot of Python examples and figures and is written in a light but informative style, easy-to
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Robotics, Vision and Control; Fundamental Algorith Peter Corke Textbook 2023Latest edition The Editor(s) (if applicable) and The Author(s),
描述.This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a narrative that covers robotics and computer vision—separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code...This edition is based on Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision.? The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. For the beginning 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. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on Toolbox functions, or modifying the Toolbox code itself..
出版日期Textbook 2023Latest edition
關(guān)鍵詞Robotics; Control; Kinematics; Dynamics; Mobile Robots; Path Planning; Rigid Body Transformation; Optimal C
版次3
doihttps://doi.org/10.1007/978-3-031-06469-2
isbn_softcover978-3-031-06468-5
isbn_ebook978-3-031-06469-2Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:56:19 | 只看該作者
Peter Corkeristics. In general, the data selected for inclusion in the handbook are those which either agree well with calculated data (in those cases where calculations could be carried out) or satisfy various correlations, particularly those based on concepts of the distribution of valence electrons of isola
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ristics. In general, the data selected for inclusion in the handbook are those which either agree well with calculated data (in those cases where calculations could be carried out) or satisfy various correlations, particularly those based on concepts of the distribution of valence electrons of isola
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Peter Corkeristics. In general, the data selected for inclusion in the handbook are those which either agree well with calculated data (in those cases where calculations could be carried out) or satisfy various correlations, particularly those based on concepts of the distribution of valence electrons of isola
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Peter Corkeristics. In general, the data selected for inclusion in the handbook are those which either agree well with calculated data (in those cases where calculations could be carried out) or satisfy various correlations, particularly those based on concepts of the distribution of valence electrons of isola
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Peter Corkel characteristics. In general, the data selected for inclusion in the handbook are those which either agree well with calculated data (in those cases where calculations could be carried out) or satisfy various correlations, particularly those based on concepts of the distribution of valence electron
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發(fā)表于 2025-3-23 03:00:19 | 只看該作者
Peter Corkeell model with added Coulomb well (hydrogen model) for higher energy states. Typical donors and acceptors in different materials are depicted. Other theoretical models include perturbation methods, cluster calculation, super cell and Green’s function techniques. Semi-empirical tight binding approxim
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