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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
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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

Jonathan Cacace

Editora: Orange Education Pvt Ltd

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Sinopse

Learn Robotics and ROS 2 with Practical ExamplesKey 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 DescriptionRobot 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.Table of Contents1. Introduction to Robot Operating System 22. Hands-on ROS 2 Programming Using Python3. Supplementary Tools for ROS 24. Robot Visualization and Simulation5. Writing Tests Using Pytest for ROS 2 Nodes6. Controlling an Inverted Pendulum with a PID Controller7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot8. ROS 2 Behaviour Trees Using Python9. Surveillance System Using Behaviour Trees10. Robot Navigation Using ROS 2 Navigation Stack (Nav2)11. Robot Arm Control Using MoveIt 212. Programming Aerial Robots Using ROS 213. Computer Vision Using ROS 214. Object Detection Using ROS 215. Using Large Language Models with ROS 216. Deep Reinforcement Learning Using ROS 2       IndexAbout the AuthorsJonathan Cacace was born in Naples, Italy, on 13 December 1987. He holds a Bachelor’s and Master’s of Science in Computer Science from University of Naples “Federico II”. Later he joined the PhD program of the same institution, earning the title of Philosophiae Doctor in Automation and Computer Engineering in 2016.During his research career, he had the chance to participate and lead various applied research projects focused on robotics, funded by the European Union. This allowed him to explore several areas of robotics, from robot manipulation to navigation. After completing his PhD, he continued to divide his work between scientific research and applied robotics, participating in more than 50 scientific publications in the flagship robotics conferences and scientific journals. He also collaborated as a private consultant for different startups based in Europe. 
Disponível desde: 30/12/2024.
Comprimento de impressão: 484 páginas.

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