Overview
- Serves as tutorial introduction, now in a completely revised, extended, and updated third edition
- Includes a lot of Matlab examples and figures and is written in a light but informative style, easy-to-read, and absorb
- Explains how to choose right algorithm to decompose and solve complex problems, using just a few simple lines of code
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 147)
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Table of contents (16 chapters)
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Front Matter
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Foundations
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Front Matter
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Mobile Robotics
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Front Matter
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Robot Manipulators
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Front Matter
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Computer Vision
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Front Matter
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Robotics, Vision & Control
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Front Matter
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Keywords
- Robotics
- Control
- Kinematics
- Dynamics
- Mobile Robots
- Path Planning Rigid Body Transformation
- Optimal Control
- Geometric Control Theory
- Trajectory
- Inertial Navigation
- Mapping
- Localization
- Simultaneous Localization and Mapping
- Motion Control
- Image Processing
- Image Formation
- Color
- Projection Models
- Image Features
- Image Segmentation
About this book
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, bywriting 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.
Authors and Affiliations
About the authors
Peter Corke is a robotics educator and researcher. He is known for his work in vision-based control and field robotics, as well as open-source robotics software and educational resources such as the QUT Robot Academy. He is a distinguished professor at the Queensland University of Technology, technical advisor to several robotics companies, and has been a consultant to MathWorks. He was the Australian University Teacher of the Year in 2017 and is a fellow of the IEEE, the Australian Academy of Technology and Engineering, and the Australian Academy of Science. He received his PhD from the University of Melbourne.
Witold Jachimczyk manages the computer vision and automated driving development teams at MathWorks. He worked on the Image Processing Toolbox(™) prior to leading the development of Computer Vision Toolbox(™) and Automated Driving Toolbox(™). Before MathWorks, he worked at Data Translation developing machine vision software and at Polaroid onembedded systems. Witold holds a B.S. and an M.S. in electrical engineering from Worcester Polytechnic Institute.
Remo Pillat is the MathWorks development manager for the robotics and autonomous systems team, which focuses on providing a set of robust algorithms and simulation tools for autonomous ground vehicles, robot manipulators, and UAVs. Prior to joining MathWorks, Remo’s research at the University of Central Florida (UCF) focused on multisensor fusion, state estimation, and environment modeling for autonomous ground vehicles. He was the chief software engineer for UCF’s self-driving car and responsible for vehicle control as well as real-time obstacle detection and tracking.
Bibliographic Information
Book Title: Robotics, Vision and Control
Book Subtitle: Fundamental Algorithms in MATLAB®
Authors: Peter Corke, Witold Jachimczyk, Remo Pillat
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-031-07262-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-07261-1Published: 08 August 2023
eBook ISBN: 978-3-031-07262-8Published: 15 May 2023
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 3
Number of Pages: XXIV, 819
Number of Illustrations: 651 illustrations in colour
Additional Information: Originally published in one volume
Topics: Robotics and Automation, Artificial Intelligence, Control and Systems Theory, Image Processing and Computer Vision, Signal, Image and Speech Processing, Cognitive Psychology