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      Robotics, Vision and Control: Fundamental Algorithms in Python

      3 in stock

      Firm sale: non returnable item
      SKU 9783031064685 Categories ,
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      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.

      This textbook provides a comprehensive, but tutorial, introduction to robotics, comput...

      £54.99

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      Description

      Product ID:9783031064685
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:Springer Tracts in Advanced Robotics
      Title:Robotics, Vision and Control
      Subtitle:Fundamental Algorithms in Python
      Authors:Author: Peter Corke
      Page Count:824
      Subjects:Cognition and cognitive psychology, Cognition & cognitive psychology, Robotics, Imaging systems and technology, Artificial intelligence, Image processing, Robotics, Imaging systems & technology, Artificial intelligence, Image processing
      Description:Select Guide Rating
      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.

      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.


      Imprint Name:Springer International Publishing AG
      Publisher Name:Springer International Publishing AG
      Country of Publication:GB
      Publishing Date:2023-08-08

      Additional information

      Weight2038 g
      Dimensions220 × 287 × 38 mm