This textbook offers a comprehensive yet approachable introduction to robotics, computer vision, and control, making it an essential resource for students, researchers, and practitioners alike. Written in a light yet informative conversational style, it seamlessly integrates text, illustrative figures, mathematical foundations, and lines of code into a cohesive narrative. The book explores robotics and computer vision both independently and as an interconnected discipline—robotic vision—providing a rich and engaging learning experience.
With over 1,600 code examples, the book demonstrates how complex real-world problems can be broken down and solved using concise, intuitive programming techniques. Readers will gain hands-on experience through practical coding exercises that reinforce theoretical concepts, making abstract ideas more tangible and applicable.
This latest edition is centered around Python and is supported by fully open-source, Python-based Toolboxes for robotics and machine vision. These Toolboxes empower readers to implement algorithmic concepts in real-world applications, working with challenging, non-trivial problems across diverse computing platforms. For beginners, the book demystifies complex algorithms by offering clear explanations, readable Toolbox code, and practical examples. Advanced users and researchers can leverage the code as a foundation for further exploration—whether by writing new programs using Toolbox functions or customizing the Toolbox code to extend its capabilities.
Whether you are new to the field or looking to deepen your expertise, this textbook serves as both a learning guide and a practical reference, equipping you with the knowledge and tools to navigate the rapidly evolving domains of robotics and computer vision. More information…
