Cover ; Copyright ; Credits; About the Author; Acknowledgements; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Started with ROS Robotics Application Development ; Getting started with ROS; ROS distributions; Supported operating systems; Robots and sensors supported by ROS; Why ROS; Fundamentals of ROS; The filesystem level; The computation graph level; The ROS community level; Communication in ROS; ROS client libraries; ROS tools; Rviz (ROS Visualizer); rqt_plot; rqt_graph; Simulators of ROS; Installing ROS kinetic on Ubuntu 16.04 LTS; Getting started with the installationConfiguring Ubuntu repositories; Setting up source.list; Setting up keys; Installing ROS; Initializing rosdep; Setting the ROS environment; Getting rosinstall; Setting ROS on VirtualBox; Setting the ROS workspace; Opportunities for ROS in industries and research; Questions; Summary; Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos ; Overview of the project; Hardware and software prerequisites; Installing dependent ROS packages; Installing the usb_cam ROS package; Creating a ROS workspace for dependencies; Interfacing Dynamixel with ROSInstalling the ROS dynamixel_motor packages; Creating face tracker ROS packages; The interface between ROS and OpenCV; Working with the face-tracking ROS package; Understanding the face tracker code; Understanding CMakeLists.txt; The track.yaml file; The launch files; Running the face tracker node; The face_tracker_control package; The start_dynamixel launch file; The pan controller launch file; The pan controller configuration file; The servo parameters configuration file; The face tracker controller node; Creating CMakeLists.txt; Testing the face tracker control packageBringing all the nodes together; Fixing the bracket and setting up the circuit; The final run; Questions; Summary; Chapter 3: Building a Siri-Like Chatbot in ROS ; Social robots; Building social robots; Prerequisites; Getting started with AIML; AIML tags; The PyAIML interpreter; Installing PyAIML on Ubuntu 16.04 LTS; Playing with PyAIML; Loading multiple AIML files; Creating an AIML bot in ROS; The AIML ROS package; Installing the ROS sound_play package; Installing the dependencies of sound_play; Installing the sound_play ROS package; Creating the ros_aiml packageThe aiml_server node; The AIML client node; The aiml_tts client node; The AIML speech recognition node; start_chat.launch; start_tts_chat.launch; start_speech_chat.launch; Questions; Summary; Chapter 4: Controlling Embedded Boards Using ROS ; Getting started with popular embedded boards; An introduction to Arduino boards; How to choose an Arduino board for your robot; Getting started with STM32 and TI Launchpads; The Tiva C Launchpad; Introducing the Raspberry Pi; How to choose a Raspberry Pi board for your robot; The Odroid board; Interfacing Arduino with ROS

Build a variety of awesome robots that can see, sense, move, and do a lot more using the powerful Robot Operating System About This Book Create and program cool robotic projects using powerful ROS libraries Work through concrete examples that will help you build your own robotic systems of varying complexity levels This book provides relevant and fun-filled examples so you can make your own robots that can run and work Who This Book Is For This book is for robotic enthusiasts and researchers who would like to build robot applications using ROS. If you are looking to explore advanced ROS features in your projects, then this book is for you. Basic knowledge of ROS, GNU/Linux, and programming concepts is assumed. What You Will Learn Create your own self-driving car using ROS Build an intelligent robotic application using deep learning and ROS Master 3D object recognition Control a robot using virtual reality and ROS Build your own AI chatter-bot using ROS Get to know all about the autonomous navigation of robots using ROS Understand face detection and tracking using ROS Get to grips with teleoperating robots using hand gestures Build ROS-based applications using Matlab and Android Build interactive applications using TurtleBot In Detail Robot Operating System is one of the most widely used software frameworks for robotic research and for companies to model, simulate, and prototype robots. Applying your knowledge of ROS to actual robotics is much more difficult than people realize, but this title will give you what you need to create your own robotics in no time! This book is packed with over 14 ROS robotics projects that can be prototyped without requiring a lot of hardware. The book starts with an introduction of ROS and its installation procedure. After discussing the basics, you'll be taken through great projects, such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find ROS robotics applications for beginner, intermediate, and expert levels inside! This book will be the perfect companion for a robotics enthusiast who really wants to do something big in the field. Style and approach This book is packed with fun-filled, end-to-end projects on mobile, armed, and flying robots, and describes the ROS implementation and execution of these models.