Mastering ROS 2 for Robotics Programming: Design, build, simulate, and prototype complex robots using the Robot Operating System 2
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Master ROS 2 by creating robotics software applications that integrate the latest technologies, like Generative AI and reinforcement learning, to build your custom robot.
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- In this fourth edition, master ROS 2 by creating robotics software applications that integrate the latest technologies, like Generative AI and reinforcement learning, to build your custom robotAll formats include a free PDF and an invitation to the Embedded System Professionals communityKey FeaturesGet a solid understanding of ROS 2 core concepts and features from scratchDesign, simulate, and prototype robotic applications using ROS 2, C++, Python, and GazeboGain hands-on experience with the latest technologies like GenAI and reinforcement learning, integrated with ROS 2 JazzyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe rising demand for advanced robotics software has made proficiency in frameworks like ROS 2 essential for engineers and enthusiasts alike.Lentin Joseph, co-founder of RUNTIME Robotics, and Jonathan Cacace, PhD in robotics, help you grasp the foundational concepts and practical applications in this comprehensive fourth edition updated to cover the latest LTS release from 2024—ROS 2 Jazzy. Starting with a solid introduction to ROS 2, including core components and tools, the chapters get you ready to start programming and using its key features confidently. Building on this, the book focuses on 3D robot modeling and simulation with the new Gazebo Sim, supported by ROS 2 controllers. You’ll explore high-level features such as Nav2 for navigation and MoveIt 2 for manipulation, which are crucial for developing advanced systems. You'll also dive into aerial robotics with ROS 2 and learn how to build real-world robots using Micro-ROS. The concluding chapters cover advanced topics like CI/CD workflows, interfacing ROS 2 with large language model (LLM) agents for intelligent planning, and applying deep reinforcement learning for autonomy.By the end of this book, you'll have a strong foundation in ROS 2, along with the skills needed to build sophisticated, real-world robotic applications.What you will learnExplore ROS 2 architecture, DDS, and communication interfaces in depthSimulate various robots using Gazebo and ROS 2Master Nav2 and MoveIt 2 in ROS 2Explore ros2_control and PerceptionBuild and program a real mobile robot from scratch using Raspberry Pi board and ROS 2Build LLM-based AI agents in ROS 2Implement reinforcement learning applications in ROS 2, NVIDIA Isaac Lab, and Isaac SimWho this book is forIf you are a robotics enthusiast, researcher, or software professional looking to advance your skills in ROS 2, this book is for you. ROS developers who wish to explore the advanced features of ROS 2 will also find this book helpful. Basic knowledge of ROS, GNU/Linux, and C++, as well as Python programming concepts is necessary to get started with this book.Table of ContentsIntroduction to ROS 2Getting Started with ROS 2 ProgrammingImplementing ROS 2 ConceptsWorking with Robot 3D Modeling in ROS 2Simulating Robots in a Realistic EnvironmentControlling Robots Using the ros2_control PackageImplementing ROS 2 Applications Using BehaviorTree dot CPPROS 2 Navigation Stack: Nav2Robot Manipulation Using MoveIt 2Working with ROS 2 and Perception StackAerial Robotics and ROS 2Designing and Programming a DIY Mobile Robot from ScratchTesting, Continuous Integration, and Continuous Deployment with ROS 2Interfacing Large Language Models with ROS 2ROS 2 and Deep Reinforcement LearningImplementing ROS 2 Visualization and Simulation Plugins
| Publisher | Packt Publishing |
| Publication date | July 28, 2025 |
| Edition | 4th |
| Language | English |
| Print length | 576 pages |
| ISBN-10 | 1836209010 |
| ISBN-13 | 978-1836209010 |
| Item Weight | 975 g |
| Dimensions | 7.5 x 1.3 x 9.25 inches (19.1 x 3.3 x 23.5 cm) |
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English Edition Lentin Joseph Editorial Review
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特色和優勢
- Understand the architecture and communication layers of ROS 2.
- Simulate robots in realistic environments using Gazebo for testing.
- Utilize OpenCV and PCL for advanced image and 3D data processing.
- Integrate Large Language Models for enhanced robotic intelligence.
- Deploy Reinforcement Learning models to optimize robot behaviors.
- Gain hands-on experience with the latest technologies in robotics.
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