SKU/Artículo: AMZ-B0DRW88ZJ8

Ultimate Robotics Programming with ROS 2 and Python: Design, Develop, and Implement Intelligent Robotics Applications with Advanced Navigation, ... Tech Specialist — Robotics & IoT Path)

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.98 kg
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Condición
Nuevo
Producto de:
Amazon
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USA

Sobre este producto
  • Learn Robotics and ROS 2 with Practical Examples Book Description Robot Operating System (ROS) and Python are essential tools for developing advanced robotics applications, offering reliability and scalability for both research and industrial solutions. [Ultimate Robotics Programming with ROS 2 and Python] introduces readers to ROS 2 without requiring prior experience in robotics. It blends theoretical explanations with practical exercises, empowering readers to solve specific robotics problems while understanding the reasoning behind various approaches. The book covers a broad spectrum of robotics topics, including mobile robots, industrial manipulators, and aerial robots. These systems are simulated using the modern Gazebo simulator and programmed with ROS 2’s out-of-the-box tools and custom solutions using the ROS 2 API. The book also delves into computer vision, generative AI, and machine learning, providing hands-on examples of real-world applications. Table of Contents 1. Introduction to Robot Operating System 2 2. Hands-on ROS 2 Programming Using Python 3. Supplementary Tools for ROS 2 4. Robot Visualization and Simulation 5. Writing Tests Using Pytest for ROS 2 Nodes 6. Controlling an Inverted Pendulum with a PID Controller 7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot 8. ROS 2 Behaviour Trees Using Python 9. Surveillance System Using Behaviour Trees 10. Robot Navigation Using ROS 2 Navigation Stack (Nav2) 11. Robot Arm Control Using MoveIt 2 12. Programming Aerial Robots Using ROS 2 13. Computer Vision Using ROS 2 14. Object Detection Using ROS 2 15. Using Large Language Models with ROS 2 16. Deep Reinforcement Learning Using ROS 2 Index
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