Ultimate Robotics Programming with ROS 2 and Python Design, Develop, and Implement Intelligent Robotics Applications with [#939986]

Free Download Ultimate Robotics Programming with ROS 2 and Python: Design, Develop, and Implement Intelligent Robotics Applications with Advanced Navigation, ... and Industrial Robots (English Edition)
English | 2024 | ASIN: B0DRW88ZJ8 | 484 pages | PDF | 18.95 MB
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. ltimate 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
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