for Mobile and Industrial Robots
Автор: Jonathan Cacace
Издательство: Orange Education Pvt Ltd, AVA
Год: December 2024
Страниц: 453
Язык: английский
Формат: epub
Размер: 44.4 MB
Learn Robotics and ROS 2 with Practical Examples.
Key Features:
- Solve basic and complex robotics problems through practical examples.
- Master ROS 2 programming fundamentals with Python for robotics.
- Simulate mobile and industrial robots using modern Gazebo tools.
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.
With intermediate challenges designed to reinforce learning, this book serves as an all-encompassing guide for anyone looking to master robotics programming with ROS 2 and Python. Step into the future of robotics and gain the expertise to build sophisticated, real-world robotic systems that can tackle the complex challenges of tomorrow.
What you will learn:
- Understand the fundamentals of ROS 2 for robotics development.
- Develop robotics applications using Python and ROS 2 programming.
- Master advanced ROS 2 packages for navigation and manipulation.
- Implement behavior trees in ROS 2 with Python for intelligent robots.
- Utilize modern Gazebo for realistic robot simulation with ROS 2.
- Integrate Large Language Models (LLMs) with ROS 2 for advanced functionalities.
- Perform computer vision tasks with ROS 2 for intelligent robots.
Contents:
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