MARC

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020 |a 9783031072628  |9 978-3-031-07262-8 
024 7 |a 10.1007/978-3-031-07262-8  |2 doi 
050 4 |a TJ212-225 
050 4 |a TJ210.2-211.495 
072 7 |a TJFM  |2 bicssc 
072 7 |a TEC007000  |2 bisacsh 
072 7 |a TJFM  |2 thema 
082 0 4 |a 629.8  |2 23 
100 1 |a Corke, Peter.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Robotics, Vision and Control  |h [electronic resource] :  |b Fundamental Algorithms in MATLAB® /  |c by Peter Corke, Witold Jachimczyk, Remo Pillat. 
250 |a 3rd ed. 2023. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2023. 
300 |a XXIV, 819 p. 651 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Tracts in Advanced Robotics,  |x 1610-742X ;  |v 147 
505 0 |a Introduction.-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 |a 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 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. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 0 |a Computer vision. 
650 0 |a Signal processing. 
650 0 |a Cognitive psychology. 
650 1 4 |a Control, Robotics, Automation. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Control and Systems Theory. 
650 2 4 |a Computer Vision. 
650 2 4 |a Digital and Analog Signal Processing. 
650 2 4 |a Cognitive Psychology. 
700 1 |a Jachimczyk, Witold.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Pillat, Remo.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031072611 
776 0 8 |i Printed edition:  |z 9783031072635 
830 0 |a Springer Tracts in Advanced Robotics,  |x 1610-742X ;  |v 147 
856 4 0 |u https://doi.org/10.1007/978-3-031-07262-8 
912 |a ZDB-2-INR 
912 |a ZDB-2-SXIT 
950 |a Intelligent Technologies and Robotics (SpringerNature-42732) 
950 |a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)