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001 978-3-031-07262-8
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020 _a9783031072628
_9978-3-031-07262-8
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC037000
_2bisacsh
072 7 _aTJFM
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082 0 4 _a629.8
_223
100 1 _aCorke, Peter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aRobotics, Vision and Control
_h[electronic resource] :
_bFundamental Algorithms in MATLAB® /
_cby Peter Corke, Witold Jachimczyk, Remo Pillat.
250 _a3rd ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXXIV, 819 p. 651 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Tracts in Advanced Robotics,
_x1610-742X ;
_v147
500 _aAcceso multiusuario
505 0 _aIntroduction.-Foundations: Representing Position and Orientation -- Time and Motion -- Mobile Robotics: Mobile Robot Vehicles -- Navigation -- Localization and Mapping -- Robot Manipulators: Robot Arm Kinematics -- Manipulator Velocity -- Dynamics and Control -- Computer Vision: Light and Color -- Images and Image Processing,- Image Feature Extraction,- Image Formation -- Using Multiple Images -- Installing the Toolboxes -- Linear Algebra -- Geometry -- Lie Groups and Algebras.
520 _aThis 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 cohesive narrative. 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 MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. 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. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows.
541 _fUABC ;
_cPerpetuidad
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aSignal processing.
650 0 _aCognitive psychology.
650 1 4 _aControl, Robotics, Automation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aControl and Systems Theory.
650 2 4 _aComputer Vision.
650 2 4 _aDigital and Analog Signal Processing.
650 2 4 _aCognitive Psychology.
700 1 _aJachimczyk, Witold.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aPillat, Remo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031072611
776 0 8 _iPrinted edition:
_z9783031072635
830 0 _aSpringer Tracts in Advanced Robotics,
_x1610-742X ;
_v147
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-07262-8
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c260327
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