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        Foundations of Robotics

        A Multidisciplinary Approach with Python and ROS

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        Contributor(s)
        Herath, Damith (editor)
        St-Onge, David (editor)
        Language
        English
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        Abstract
        This open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. The book provides an inspired, up-to-date and multidisciplinary introduction to robotics in its many forms, including emerging topics related to robotics on Machine Learning, ethics, Human-Robot Interaction, and Design Thinking. The book also includes interviews with industry experts, providing an additional layer of insight into the world of robotics. The book is made open access through the generous support from Kinova Robotics. The bookis suitable as an undergraduate textbook in a relevant engineering course. It is also suitable for students in art and design, high school students, and self-learners who would like to explore foundational concepts in robotics. “This book provides the ‘foundation’ for understanding how robots work. It is the accessible introduction that artists and engineers have been waiting for.” - Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering, UC Berkeley.
        URI
        https://library.oapen.org/handle/20.500.12657/93873
        Keywords
        Robot Operating System (ROS); Sensors and actuators; Computer vision; Grasping; Mobile robots; Robot swarms; Cloud robotics; Machine learning; Neural nets; Deep learning; Social robots; Interacting robots; Robots that learn
        DOI
        10.1007/978-981-19-1983-1
        ISBN
        9789811919831, 9789811919831, 9789811919824
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2022
        Imprint
        Springer Nature Singapore
        Classification
        Automatic control engineering
        Artificial intelligence
        Software Engineering
        Computer vision
        Cognition and cognitive psychology
        Pages
        543
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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