精通ROS机器人编程:2015版C++实战指南

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"Mastering ROS for Robotics Programming 2015 C++" 本书“Mastering ROS for Robotics Programming 2015 C++”是一本专为机器人操作系统(ROS)的使用者和开发者编写的指南,旨在帮助读者掌握如何使用ROS设计、构建和模拟复杂的机器人系统。ROS是机器人学领域广泛使用的开源框架,它提供了丰富的库和工具,使得机器人软件开发变得更加高效和模块化。 在2015年的背景下,这本书主要关注ROS的C++实现,因为C++是ROS的核心编程语言,能够提供高性能和低级别的控制。作者Lentin Joseph是一位经验丰富的机器人学专家,他通过本书向读者展示了如何充分利用ROS的特性,包括消息传递、节点通信、参数服务器、服务和动作服务器等核心概念。 书中内容涵盖了: 1. **ROS基础知识**:介绍ROS的架构,包括节点、话题、服务、参数等基本元素,以及如何设置ROS开发环境。 2. **C++编程基础**:回顾C++基础知识,确保读者能够理解ROS中用到的C++编程技巧和最佳实践。 3. **ROS包和工作空间**:学习创建、管理和组织ROS项目,包括编写CMakeLists.txt文件和创建ROS包。 4. **传感器和Actuators**:讲解如何处理来自各种传感器(如激光雷达、摄像头)的数据,以及如何控制执行器。 5. **导航和移动**:探讨ROS中的导航堆栈,包括路径规划、定位和避障策略。 6. **模拟与仿真**:利用Gazebo进行机器人仿真,测试和优化机器人行为。 7. **人机交互**:介绍如何通过ROS实现机器人与用户之间的交互,如语音识别和可视化界面。 8. **高级主题**:涵盖更复杂的话题,如多机器人协作、SLAM(同时定位与建图)和机器学习应用。 通过本书的学习,读者将不仅能够理解ROS的工作原理,还能熟练地应用ROS开发出功能丰富的机器人应用程序。书中的实例和练习旨在帮助读者将理论知识转化为实际技能,提升在机器人领域的专业能力。尽管出版于2015年,ROS的核心概念和大部分技术依然在当前版本中适用,因此对于初学者和有一定经验的开发者来说,这本书都是一个宝贵的资源。
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Effective Robotics Programming with ROS, Third Edition gives you a comprehensive review of ROS, the Robot Operating System framework, which is used nowadays by hundreds of research groups and companies in the robotics industry. More importantly, ROS is also the painless entry point to robotics for nonprofessionals and students. This book will guide you through the installation process of ROS, and soon enough, you will be playing with the basic tools and understanding the different elements of the framework. The content of the book can be followed without any special devices, and each chapter comes with a series of source code examples and tutorials that you can run on your own computer. This is the only thing you need to follow the book. However, we also show you how to work with hardware so that you can connect your algorithms with the real world. Special care has been taken in choosing devices that are affordable for amateur users, but at the same time, the most typical sensors or actuators in robotics research are covered. Finally, the potential of ROS is illustrated with the ability to work with whole robots in a real or simulated environment. You will learn how to create your own robot and integrate it with a simulation by using the Gazebo simulator. From here, you will have the chance to explore the different aspects of creating a robot, such as perceiving the world using computer vision or point cloud analysis, navigating through the environment using the powerful navigation stack, and even being able to control robotic arms to interact with your surroundings using the MoveIt! package. By the end of the book, it is our hope that you will have a thorough understanding of the endless possibilities that ROS gives you when developing robotic systems.What this book covers Chapter 1, Getting Started with ROS, shows the easiest way you must follow in order to have a working installation of ROS. You will see how to install ROS on different platforms, and you will use ROS Kinetic throughout the rest of the book. This chapter describes how to make an installation from Debian packages, compile the sources, and make installations in virtual machines, Docker, and ARM CPU. Chapter 2, ROS Architecture and Concepts, is concerned with the concepts and tools provided by the ROS framework. We will introduce you to nodes, topics, and services, and you will also learn how to use them. Through a series of examples, we will illustrate how to debug a node and visualize the messages published through a topic. Chapter 3, Visualization and Debugging Tools, goes a step further in order to show you powerful tools to debug your nodes and visualize the information that goes through the node's graph along with the topics. ROS provides a logging API that allows you to diagnose node problems easily. In fact, we will see some powerful graphical tools, such as rqt_console and rqt_graph, as well as visualization interfaces, such as rqt_plot and rviz. Finally, this chapter explains how to record and play back messages using rosbag and rqt_bag. Chapter 4, 3D Modeling and Simulation, constitutes one of the first steps in order to implement your own robot in ROS. It shows you how to model a robot from scratch and run it in simulation using the Gazebo simulator. You will simulate sensors, such as cameras and laser range sensors. This will later allow you to use the whole navigation stack provided by ROS and other tools. Chapter 5, The Navigation Stack – Robot Setups, is the first of two chapters concerned with the ROS navigation stack. This chapter describes how to configure your robot so that it can be used with the navigation stack. In the same way, the stack is explained, along with several examples. Chapter 6, The Navigation Stack – Beyond Setups, continues the discussion of the previous chapter by showing how we can effectively make our robot navigate autonomously. It will use the navigation stack intensively for that. This chapter shows the great potential of ROS using the Gazebo simulator and RViz to create a virtual environment in which we can build a map, localize our robot, and do path planning with obstacle avoidance. Chapter 7, Manipulation with MoveIt!, is a set of tools for mobile manipulation in ROS. This chapter contains the documentation that you need to install this package. The chapter also contains example demonstrations with robotic arms that use MoveIt! for manipulation tasks, such as grasping, picking and placing, or simple motion planning with inverse kinematics. Chapter 8, Using Sensors and Actuators with ROS, literally connects ROS with the real world. This chapter goes through a number of common sensors and actuators that are supported inROS, such as range lasers, servo motors, cameras, RGB-D sensors, and GPS. Moreover, we explain how to use embedded systems with microcontrollers, similar to the widely known Arduino boards. Chapter 9, Computer Vision, shows the support for cameras and computer vision tasks in ROS. This chapter starts with drivers available for FireWire and USB cameras so that you can connect them to your computer and capture images. You will then be able to calibrate your camera using the ROS calibration tools. Later, you will be able to use the image pipeline, which is explained in detail. Then, you will see how to use several APIs for vision and integrate OpenCV. Finally, the installation and usage of a visual odometry software is described. Chapter 10, Point Clouds, shows how to use Point Cloud Library in your ROS nodes. This chapter starts with the basics utilities, such as read or write a PCL snippet and the conversions needed to publish or subscribe to these messages. Then, you will create a pipeline with different nodes to process 3D data, and you will downsample, filter, and search for features using