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This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in 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, supported by open-source Python Toolboxes. The topics covered are guided by real problems observed by the author 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 over 1600 Python examples and figures. The book is a walk through the fundamentals of mobile robots, navigation, localization, arm-robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and multi-view geometry, and finally bringing it all together with an extensive discussion of visual servo systems.

This third edition, published in 2023, has been completely revised, extended and updated. To follow the code examples in this book requires the installation of Python and a number of open-source Python packages (toolboxes). Most examples in the book can be run online using Google Colab with zero installation of software on your device.

Block diagrams are simulated using the open-source package bdsim instead of Simulink®.