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, 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.
About the Author
Peter Corke is a robotics educator and researcher. He is known for his work in vision-based control and field robotics, open-source robotics software, and educational resources such as the QUT Robot Academy. He is a distinguished professor at the Queensland University of Technology and a technical advisor to several robotics companies. 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.
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