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Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
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Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
Design, simulate, build, and program an interactive autonomous mobile robot using ROS, Gazebo, and Python
Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
Artigo n.º: 23153294

Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

81% of respondents would recommend this to a friend

Artigo n.º: 23153294

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O que se Destaca

Comprehensive Curriculum
Covers design, simulation, and programming, providing a complete roadmap for learners to master robotics and Python, catering to both beginners and advanced practitioners in the field.
Hands-On Projects
Engages users with practical projects involving ROS, OpenCV, and PCL, facilitating real-world applications and enhancing the learning experience through tangible results.
Updated Edition
Features the latest tools and techniques in robotics, ensuring that learners are equipped with modern skills that meet industry standards, enhancing their career prospects in the tech-driven market.

Detalhes do produto

Shop Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python online at a best price in Angola. 1788623312
  • Design, simulate, and program interactive robots Key FeaturesDesign, simulate, build, and program an interactive autonomous mobile robotLeverage the power of ROS, Gazebo, and Python to enhance your robotic skillsA hands-on guide to creating an autonomous mobile robot with the help of ROS and PythonBook DescriptionRobot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch.This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package.What you will learnDesign a differential robot from scratchModel a differential robot using ROS and URDFSimulate a differential robot using ROS and GazeboDesign robot hardware electronicsInterface robot actuators with embedded boardsExplore the interfacing of different 3D depth cameras in ROSCreate a GUI for robot controlWho this book is forThis book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You’re expected to have a basic understanding of Linux commands and Python.Table of ContentsGetting started with ROSUnderstanding basics of differential robotsModeling the Differential Drive RobotSimulating a Differential Drive Robot Using ROSDesigning ChefBot Hardware and CircuitsInterfacing Actuators and Sensors to the Robot ControllerInterfacing Vision Sensors with ROSBuilding ChefBot Hardware and the Integration of SoftwareDesigning a GUI for a Robot Using Qt and PythonAssessments
Publisher Packt Publishing
Publication date June 27, 2018
Edition 2nd ed.
Language English
Print length 280 pages
ISBN-10 1788623312
ISBN-13 978-1788623315
Item Weight 1.07 pounds (490 grams)
Dimensions 7.5 x 0.64 x 9.25 inches (19.1 x 1.6 x 23.5 cm)

Quem Deverá Comprar?

Suitable For
  • Aspiring Robotics Developers

    Those wanting to acquire hands-on skills in designing and programming autonomous robots using popular robotics tools.

  • Students in Engineering

    Ideal for university students seeking to understand robotics principles and develop practical coding solutions.

  • Hobbyists and Makers

    Perfect for enthusiasts interested in robotics, especially those leveraging Python for DIY robotic projects.

Not Suitable For
  • Complete Beginners

    Individuals with no prior programming experience may find the content challenging without foundational knowledge.

DESCRIÇÃO DO PRODUTO

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Perguntas e respostas do cliente

  • Pergunta: What is the main focus of Learning Robotics using Python - Second Edition?

    Resposta: This book primarily focuses on teaching readers how to design, simulate, program, and prototype an autonomous mobile robot using advanced tools and libraries like ROS (Robot Operating System), OpenCV for computer vision, and PCL (Point Cloud Library). By following step-by-step instructions, readers will gain hands-on experience in the exciting field of robotics, allowing them to develop practical skills that are applicable in real-world scenarios.
  • Pergunta: Who is the target audience for this book?

    Resposta: Learning Robotics using Python - Second Edition is designed for a wide range of readers, including beginners in robotics, students studying engineering or computer science, and hobbyists interested in programming and robotics. The structured approach ensures that those with basic knowledge in Python can easily follow along, while also providing insights for more experienced individuals looking to enhance their skills in robotic applications.
  • Pergunta: What programming languages are covered in this book?

    Resposta: The book predominantly focuses on Python, which is widely regarded for its simplicity and efficiency in robotics applications. Python's integration with ROS, OpenCV, and PCL allows readers to implement complex algorithms without extensive programming knowledge. This makes it an ideal choice for prototyping and simulating robotics solutions effectively, catering to developers wishing to create innovative robot applications.
  • Pergunta: What prior knowledge is required to benefit from this book?

    Resposta: While prior programming experience can be beneficial, it is not strictly necessary. A basic understanding of Python is helpful, but the content gradually introduces essential programming concepts alongside robotics principles. This supportive learning environment allows readers with limited backgrounds to grasp the material fully and engage with more complex topics as their skills progress.
  • Pergunta: Are there practical projects included in Learning Robotics using Python?

    Resposta: Yes, the book includes numerous practical projects that demonstrate how to build and program mobile robots from scratch. Readers will explore various activities, such as obstacle detection, navigation, and object recognition using OpenCV. These projects reinforce theoretical understanding, making the learning experience interactive and applicable to real-world robotics challenges.
  • Pergunta: How does the book approach teaching robotics concepts?

    Resposta: The book employs a hands-on, project-based approach to teaching robotics. Each chapter builds upon the previous ones, introducing new concepts, tools, and methodologies incrementally. This scaffolding method helps readers retain knowledge, as they immediately apply what they've learned to real projects, allowing for natural and intuitive learning of robotics principles.
  • Pergunta: Can this book serve as a reference guide for advanced users?

    Resposta: Absolutely! Even experienced developers will find value in the book as a comprehensive reference on various robotics technologies. With detailed explanations on using ROS, advanced programming techniques, and insights into machine learning applications with OpenCV, it's a useful resource for enhancing existing knowledge and exploring new methodologies in robotics.
  • Pergunta: What tools and software do you need to follow the projects in the book?

    Resposta: To follow the projects outlined in the book, readers will need a compatible computer or laptop, an installation of ROS, as well as OpenCV and PCL libraries. The book provides guidance on setting these up, making it accessible for readers to create a robust environment for developing and testing their robotics solutions.
  • Pergunta: Where can I buy Learning Robotics using Python - Second Edition?

    Resposta: You can purchase Learning Robotics using Python - Second Edition through Ubuy, a reliable online retailer that offers a wide selection of books and learning resources. Ubuy caters to customers in Angola, ensuring that you can get your hands on this essential robotics guide quickly and conveniently.

Python Editorial Review

Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python offers a solid foundation for those interested in robotics. According to user reviews, it is considered a nice start for building a ROS system, highlighting its organization and introduction to essential concepts. However, some critiques mention outdated content, such as the use of Ubuntu 16.04 instead of more recent versions, and a lack of coverage on modern tools like Raspberry Pi and Arduino. Despite these issues, it serves as a stepping stone for learners aiming to construct an autonomous mobile robot, albeit with limitations in its current form.

Avaliações e Classificações dos Clientes

31 classificações de clientes
  • 5 Estrela
    63%
  • 4 Estrela
    9%
  • 3 Estrela
    7%
  • 2 Estrela
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  • 1 Estrela
    21%

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Prós

  • Well-organized introduction to ROS concepts
  • Useful for beginners in robotics
  • 280 pages packed with information
  • Helpful for building autonomous robots
  • Engaging content for foundational knowledge

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Recursos e benefícios

  • Create an autonomous mobile robot using ROS, Gazebo, and Python
  • Learn how to design, simulate and program interactive robots from scratch
  • Understand the basics of differential robots and robot modeling
  • Configure and program depth sensors and LIDARs using ROS
  • Implement autonomous navigation in ChefBot
  • Ideal for those conducting research in mobile robotics and autonomous navigation

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