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    A Systematic Approach to Learning Robot Programming with ROS

    Yayınevi : CRC Press
    ISBN :9781498777827
    Sayfa Sayısı :530
    Baskı Sayısı :1
    Basım Yılı :2017
    1688,00 ₺

    Bu ürün için iade seçeneği bulunmamaktadır.

    Tahmini Kargoya Veriliş Zamanı: Stoktan Teslim

    Features

    • Teaches ROS from the ground up without dependence on detailed prior expertise
    • Introduces the reader to ROS incrementally, building on a coherent sequence of topics
    • Assumes rudimentary knowledge of C++, but does not assume expertise in details of programming, robotics, machine vision, kinematics/dynamics, or software engineering
    • Presents ROS programming together with Gazebo simulations
    • Provides a survey of robotics topics, including kinematics, machine vision, point-cloud processing, mapping, navigation, and user interfaces
    • Access PowerPoint slides for the textbook here: https://www.teacherspayteachers.com/Store/Learn-Ros-And-Robotics-Systematically

    Summary

    A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS, how to understand ROS packages, how to use ROS tools, how to incorporate existing ROS packages into new applications, and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation.

     

    The book is organized into six parts. It begins with an introduction to ROS foundations, including writing ROS nodes and ROS tools. Messages, Classes, and Servers are also covered. The second part of the book features simulation and visualization with ROS, including coordinate transforms.

     

    The next part of the book discusses perceptual processing in ROS. It includes coverage of using cameras in ROS, depth imaging and point clouds, and point cloud processing. Mobile robot control and navigation in ROS is featured in the fourth part of the book

     

    The fifth section of the book contains coverage of robot arms in ROS. This section explores robot arm kinematics, arm motion planning, arm control with the Baxter Simulator, and an object-grabber package. The last part of the book focuses on system integration and higher-level control, including perception-based and mobile manipulation.

     

    This accessible text includes examples throughout and C++ code examples are also provided at https://github.com/wsnewman/learning_ros

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    Features

    • Teaches ROS from the ground up without dependence on detailed prior expertise
    • Introduces the reader to ROS incrementally, building on a coherent sequence of topics
    • Assumes rudimentary knowledge of C++, but does not assume expertise in details of programming, robotics, machine vision, kinematics/dynamics, or software engineering
    • Presents ROS programming together with Gazebo simulations
    • Provides a survey of robotics topics, including kinematics, machine vision, point-cloud processing, mapping, navigation, and user interfaces
    • Access PowerPoint slides for the textbook here: https://www.teacherspayteachers.com/Store/Learn-Ros-And-Robotics-Systematically

    Summary

    A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS, how to understand ROS packages, how to use ROS tools, how to incorporate existing ROS packages into new applications, and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation.

     

    The book is organized into six parts. It begins with an introduction to ROS foundations, including writing ROS nodes and ROS tools. Messages, Classes, and Servers are also covered. The second part of the book features simulation and visualization with ROS, including coordinate transforms.

     

    The next part of the book discusses perceptual processing in ROS. It includes coverage of using cameras in ROS, depth imaging and point clouds, and point cloud processing. Mobile robot control and navigation in ROS is featured in the fourth part of the book

     

    The fifth section of the book contains coverage of robot arms in ROS. This section explores robot arm kinematics, arm motion planning, arm control with the Baxter Simulator, and an object-grabber package. The last part of the book focuses on system integration and higher-level control, including perception-based and mobile manipulation.

     

    This accessible text includes examples throughout and C++ code examples are also provided at https://github.com/wsnewman/learning_ros

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