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Ultimate Robotics Programming with ROS 2 and Python - Design Develop and Implement Intelligent Robotics Applications with Advanced Navigation Simulation and Computer Vision for Mobile and Industrial Robots - cover

Ultimate Robotics Programming with ROS 2 and Python - Design Develop and Implement Intelligent Robotics Applications with Advanced Navigation Simulation and Computer Vision for Mobile and Industrial Robots

Jonathan Cacace

Casa editrice: Orange Education Pvt. Ltd

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Sinossi

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. Hands-on ROS 2 Programming Using Python
3. Supplementary Tools for ROS
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
12. Programming Aerial Robots Using ROS
13. Computer Vision Using ROS
14. Object Detection Using ROS
15. Using Large Language Models with ROS
16. Deep Reinforcement Learning Using ROS 2       

Index
Disponibile da: 30/12/2024.

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