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Robotics, Vision and Control

Fundamental Algorithms in MATLAB®

  • Peter Corke

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 73)

Table of contents

  1. Front Matter
  2. Introduction

    1. Peter Corke
      Pages 1-11
  3. Part I Foundations

    1. Front Matter
      Pages 13-13
    2. Peter Corke
      Pages 15-41
    3. Peter Corke
      Pages 43-57
  4. Part II Mobile Robots

    1. Front Matter
      Pages 59-62
    2. Peter Corke
      Pages 65-86
    3. Peter Corke
      Pages 87-106
    4. Peter Corke
      Pages 107-131
  5. Part III Arm-Type Robots

    1. Front Matter
      Pages 133-135
    2. Peter Corke
      Pages 137-170
    3. Peter Corke
      Pages 171-190
    4. Peter Corke
      Pages 191-218
  6. Part IV Computer Vision

    1. Front Matter
      Pages 219-221
    2. Peter Corke
      Pages 223-250
    3. Peter Corke
      Pages 251-283
    4. Peter Corke
      Pages 285-333
    5. Peter Corke
      Pages 335-379
    6. Peter Corke
      Pages 381-449
  7. Part V Robotics, Vision and Control

    1. Front Matter
      Pages 451-453
    2. Peter Corke
      Pages 455-479
    3. Peter Corke
      Pages 481-495
  8. Back Matter

About this book

Introduction

The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers?

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 easy to read  and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system.

Keywords

Matlab Robotics Robotics Toolbox Vision Vision Toolbox

Authors and affiliations

  • Peter Corke
    • 1
  1. 1.School of Electrical Engineering and Computer ScienceQueensland University of Technology (QUT) BrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-20144-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-20143-1
  • Online ISBN 978-3-642-20144-8
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site
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