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Mastering ROS for Robotics Programming
Mastering ROS for Robotics Programming
Mastering ROS for Robotics Programming
Ebook946 pages5 hours

Mastering ROS for Robotics Programming

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About this ebook

Design, build and simulate complex robots using Robot Operating System and master its out-of-the-box functionalities

About This Book

- Develop complex robotic applications using ROS for interfacing robot manipulators and mobile robots with the help of high end robotic sensors
- Gain insights into autonomous navigation in mobile robot and motion planning in robot manipulators
- Discover the best practices and troubleshooting solutions everyone needs when working on ROS

Who This Book Is For

If you are a robotics enthusiast or researcher who wants to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book will also be good for programmers who want to explore the advanced features of ROS.

What You Will Learn

- Create a robot model of a Seven-DOF robotic arm and a differential wheeled mobile robot
- Work with motion planning of a Seven-DOF arm using MoveIt!
- Implement autonomous navigation in differential drive robots using SLAM and AMCL packages in ROS
- Dig deep into the ROS Pluginlib, ROS nodelets, and Gazebo plugins
- Interface I/O boards such as Arduino, Robot sensors, and High end actuators with ROS
- Simulation and motion planning of ABB and Universal arm using ROS Industrial
- Explore the ROS framework using its latest version

In Detail

The area of robotics is gaining huge momentum among corporate people, researchers, hobbyists, and students. The major challenge in robotics is its controlling software. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications.
This book discusses the advanced concepts in robotics and how to program using ROS. It starts with deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks.
After discussing robot manipulation and navigation in robots, you will get to grips with the interfacing I/O boards, sensors, and actuators of ROS. One of the essential ingredients of robots are vision sensors, and an entire chapter is dedicated to the vision sensor, its interfacing in ROS, and its programming.
You will discuss the hardware interfacing and simulation of complex robot to ROS and ROS Industrial (Package used for interfacing industrial robots).
Finally, you will get to know the best practices to follow when programming using ROS.

Style and approach

This is a simplified guide to help you learn and master advanced topics in ROS using hands-on examples.
LanguageEnglish
Release dateDec 21, 2015
ISBN9781785282997
Mastering ROS for Robotics Programming

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    Mastering ROS for Robotics Programming - Lentin Joseph

    Table of Contents

    Mastering ROS for Robotics Programming

    Credits

    About the Author

    About the Reviewers

    www.PacktPub.com

    Support files, eBooks, discount offers, and more

    Why subscribe?

    Free access for Packt account holders

    Preface

    What this book covers

    What you need for this book

    Who this book is for

    Conventions

    Reader feedback

    Customer support

    Downloading the example code

    Downloading the color images of this book

    Errata

    Piracy

    Questions

    1. Introduction to ROS and Its Package Management

    Why should we learn ROS?

    Why we prefer ROS for robots

    Why some do not prefer ROS for robots

    Understanding the ROS file system level

    ROS packages

    ROS meta packages

    ROS messages

    The ROS services

    Understanding the ROS computation graph level

    Understanding ROS nodes

    ROS messages

    ROS topics

    ROS services

    ROS bags

    Understanding ROS Master

    Using the ROS parameter

    Understanding ROS community level

    What are the prerequisites to start with ROS?

    Running ROS Master and ROS parameter server

    Checking the roscore command output

    Creating a ROS package

    Working with ROS topics

    Creating ROS nodes

    Building the nodes

    Adding custom msg and srv files

    Working with ROS services

    Working with ROS actionlib

    Creating the ROS action server

    Creating the ROS action client

    Building the ROS action server and client

    Creating launch files

    Applications of topics, services, and actionlib

    Maintaining the ROS package

    Releasing your ROS package

    Preparing the ROS package for the release

    Releasing our package

    Creating a Wiki page for your ROS package

    Questions

    Summary

    2. Working with 3D Robot Modeling in ROS

    ROS packages for robot modeling

    Understanding robot modeling using URDF

    Creating the ROS package for the robot description

    Creating our first URDF model

    Explaining the URDF file

    Visualizing the robot 3D model in RViz

    Interacting with pan and tilt joints

    Adding physical and collision properties to a URDF model

    Understanding robot modeling using xacro

    Using properties

    Using the math expression

    Using macros

    Conversion of xacro to URDF

    Creating the robot description for a seven DOF robot manipulator

    Arm specification

    Type of joints

    Explaining the xacro model of seven DOF arm

    Using constants

    Using macros

    Including other xacro files

    Using meshes in the link

    Working with the robot gripper

    Viewing the seven DOF arm in RViz

    Understanding joint state publisher

    Understanding the robot state publisher

    Creating a robot model for the differential drive mobile robot

    Questions

    Summary

    3. Simulating Robots Using ROS and Gazebo

    Simulating the robotic arm using Gazebo and ROS

    The Robotic arm simulation model for Gazebo

    Adding colors and textures to the Gazebo robot model

    Adding transmission tags to actuate the model

    Adding the gazebo_ros_control plugin

    Adding a 3D vision sensor to Gazebo

    Simulating the robotic arm with Xtion Pro

    Visualizing the 3D sensor data

    Moving robot joints using ROS controllers in Gazebo

    Understanding the ros_control packages

    Different types of ROS controllers and hardware interfaces

    How the ROS controller interacts with Gazebo

    Interfacing joint state controllers and joint position controllers to the arm

    Launching the ROS controllers with Gazebo

    Moving the robot joints

    Simulating a differential wheeled robot in Gazebo

    Adding the laser scanner to Gazebo

    Moving the mobile robot in Gazebo

    Adding joint state publishers in the launch file

    Adding the ROS teleop node

    Questions

    Summary

    4. Using the ROS MoveIt! and Navigation Stack

    Installing MoveIt!

    MoveIt! architecture

    The move_group node

    Motion planning using MoveIt!

    Motion planning request adapters

    MoveIt! planning scene

    MoveIt! kinematics handling

    MoveIt! collision checking

    Generating MoveIt! configuration package using Setup Assistant tool

    Step 1 – Launching the Setup Assistant tool

    Step 2 – Generating the Self-Collision matrix

    Step 3 – Adding virtual joints

    Step 4 – Adding planning groups

    Step 5 – Adding the robot poses

    Step 6 – Setup the robot end effector

    Step 7 – Adding passive joints

    Step 8 – Generating configuration files

    Motion planning of robot in RViz using MoveIt! configuration package

    Using the RViz MotionPlanning plugin

    Interfacing the MoveIt! configuration package to Gazebo

    Step 1 – Writing the controller configuration file for MoveIt!

    Step 2 – Creating the controller launch files

    Step 3 – Creating the controller configuration file for Gazebo

    Step 4 – Creating the launch file for Gazebo trajectory controllers

    Step 5 – Debugging the Gazebo- MoveIt! interface

    Understanding ROS Navigation stack

    ROS Navigation hardware requirements

    Working with Navigation packages

    Understanding the move_base node

    Working of Navigation stack

    Localizing on the map

    Sending a goal and path planning

    Collision recovery behavior

    Sending the command velocity

    Installing ROS Navigation stack

    Building a map using SLAM

    Creating a launch file for gmapping

    Running SLAM on the differential drive robot

    Implementing autonomous navigation using AMCL and a static map

    Creating an AMCL launch file

    Questions

    Summary

    5. Working with Pluginlib, Nodelets, and Gazebo Plugins

    Understanding pluginlib

    Creating plugins for the calculator application using pluginlib

    Working with pluginlib_calculator package

    Step 1 – Creating calculator_base header file

    Step 2 – Creating calculator_plugins header file

    Step 3 – Exporting plugins using calculator_plugins.cpp

    Step 4 – Implementing plugin loader using calculator_loader.cpp

    Step 5 – Creating plugin description file: calculator_plugins.xml

    Step 6 – Registering plugin with the ROS package system

    Step 7 – Editing the CMakeLists.txt file

    Step 8: Querying the list of plugins in a package

    Step 9 – Running the plugin loader

    Understanding ROS nodelets

    Creating a nodelet

    Step 1 – Creating a package for nodelet

    Step 2 – Creating hello_world.cpp nodelet

    Step 3 – Explanation of hello_world.cpp

    Step 4 – Creating plugin description file

    Step 5 – Adding the export tag in package.xml

    Step 6 – Editing CMakeLists.txt

    Step 7 – Building and running nodelets

    Step 8 – Creating launch files for nodelets

    Understanding the Gazebo plugins

    Creating a basic world plugin

    Questions

    Summary

    6. Writing ROS Controllers and Visualization Plugins

    Understanding pr2_mechanism packages

    pr2_controller_interface package

    Initialization of the controller

    Starting the ROS controller

    Updating ROS controller

    Stopping the controller

    pr2_controller_manager

    Writing a basic real-time joint controller in ROS

    Step 1 – Creating controller package

    Step 2 – Creating controller header file

    Step 3 – Creating controller source file

    Step 4 – Explanation of the controller source file

    Step 5 – Creating plugin description file

    Step 6 – Updating package.xml

    Step 7 – Updating CMakeLists.txt

    Step 8 – Building controller

    Step 9 – Writing controller configuration file

    Step 10 – Writing launch file for the controller

    Step 11 – Running controller along with PR2 simulation in Gazebo

    Understanding ros_control packages

    Understanding ROS visualization tool (RViz) and its plugins

    Displays panel

    RViz toolbar

    Views

    Time panel

    Dockable panels

    Writing a RViz plugin for teleoperation

    Methodology of building RViz plugin

    Step 1 – Creating RViz plugin package

    Step 2 – Creating RViz plugin header file

    Step 3 – Creating RViz plugin definition

    Step 4 – Creating plugin description file

    Step 5 – Adding export tags in package.xml

    Step 6 – Editing CMakeLists.txt

    Step 7 – Building and loading plugins

    Questions

    Summary

    7. Interfacing I/O Boards, Sensors, and Actuators to ROS

    Understanding the Arduino–ROS interface

    What is the Arduino–ROS interface?

    Understanding the rosserial package in ROS

    Installing rosserial packages on Ubuntu 14.04/15.04

    Understanding ROS node APIs in Arduino

    ROS – Arduino Publisher and Subscriber example

    Arduino-ROS, example – blink LED and push button

    Arduino-ROS, example – Accelerometer ADXL 335

    Arduino-ROS, example – ultrasonic distance sensor

    Equations to find distance using the ultrasonic range sensor

    Arduino-ROS, example – Odometry Publisher

    Interfacing Non-Arduino boards to ROS

    Setting ROS on Odroid–C1 and Raspberry Pi 2

    How to install an OS image to Odroid-C1 and Raspberry Pi 2

    Installation in Windows

    Installation in Linux

    Connecting to Odroid-C1 and Raspberry Pi 2 from a PC

    Configuring an Ethernet hotspot for Odroid-C1 and Raspberry Pi 2

    Installing Wiring Pi on Odroid-C1

    Installing Wiring Pi on Raspberry Pi 2

    Blinking LED using ROS on Odroid-C1 and Raspberry Pi 2

    Push button + blink LED using ROS on Odroid-C1 and Raspberry Pi 2

    Running LED blink in Odroid-C1

    Running button handling and LED blink in Odroid-C1

    Running LED blink in Raspberry Pi 2

    Interfacing Dynamixel actuators to ROS

    Questions

    Summary

    8. Programming Vision Sensors using ROS, Open-CV, and PCL

    Understanding ROS – OpenCV interfacing packages

    Understanding ROS – PCL interfacing packages

    Installing ROS perception

    Interfacing USB webcams in ROS

    Working with ROS camera calibration

    Converting images between ROS and OpenCV using cv_bridge

    Image processing using ROS and OpenCV

    Step 1: Creating ROS package for the experiment

    Step 2: Creating source files

    Step 3: Explanation of the code

    Publishing and subscribing images using image_transport

    Converting OpenCV-ROS images using cv_bridge

    Finding edges on the image

    Visualizing raw and edge detected image

    Step 4: Editing the CMakeLists.txt file

    Step 5: Building and running example

    Interfacing Kinect and Asus Xtion Pro in ROS

    Interfacing Intel Real Sense camera with ROS

    Working with point cloud to laser scan package

    Interfacing Hokuyo Laser in ROS

    Interfacing Velodyne LIDAR in ROS

    Working with point cloud data

    How to publish a point cloud

    How to subscribe and process the point cloud

    Writing a point cloud data to a PCD file

    Read and publish point cloud from a PCD file

    Streaming webcam from Odroid using ROS

    Questions

    Summary

    9. Building and Interfacing Differential Drive Mobile Robot Hardware in ROS

    Introduction to Chefbot- a DIY mobile robot and its hardware configuration

    Flashing Chefbot firmware using Energia IDE

    Serial data sending protocol from LaunchPad to PC

    Serial data sending protocol from PC to Launchpad

    Discussing Chefbot interface packages on ROS

    Computing odometry from encoder ticks

    Computing motor velocities from ROS twist message

    Running robot stand alone launch file using C++ nodes

    Configuring the Navigation stack for Chefbot

    Configuring the gmapping node

    Configuring the Navigation stack packages

    Common configuration (local_costmap) and (global_costmap)

    Configuring global costmap parameters

    Configuring local costmap parameters

    Configuring base local planner parameters

    Configuring DWA local planner parameters

    Configuring move_base node parameters

    Understanding AMCL

    Understanding RViz for working with the Navigation stack

    2D Pose Estimate button

    Visualizing the particle cloud

    The 2D Nav Goal button

    Displaying the static map

    Displaying the robot footprint

    Displaying the global and local cost map

    Displaying the global plan, local plan, and planner plan

    The current goal

    Obstacle avoidance using the Navigation stack

    Working with Chefbot simulation

    Building a room in Gazebo

    Adding model files to the Gazebo model folder

    Sending a goal to the Navigation stack from a ROS node

    Questions

    Summary

    10. Exploring the Advanced Capabilities of ROS-MoveIt!

    Motion planning using the move_group C++ interface

    Motion planning a random path using MoveIt! C++ APIs

    Motion planning a custom path using MoveIt! C++ APIs

    Collision checking in robot arm using MoveIt!

    Adding a collision object in MoveIt!

    Removing a collision object from the planning scene

    Checking self collision using MoveIt! APIs

    Working with perception using MoveIt! and Gazebo

    Grasping using MoveIt!

    Working with robot pick and place task using MoveIt!

    Creating Grasp Table and Grasp Object in MoveIt!

    Pick and place action in Gazebo and real Robot

    Understanding Dynamixel ROS Servo controllers for robot hardware interfacing

    The Dynamixel Servos

    Dynamixel-ROS interface

    Interfacing seven DOF Dynamixel based robotic arm to ROS MoveIt!

    Creating a controller package for COOL arm robot

    MoveIt! configuration of the COOL Arm

    Questions

    Summary

    11. ROS for Industrial Robots

    Understanding ROS-Industrial packages

    Goals of ROS-Industrial

    ROS-Industrial – a brief history

    Benefits of ROS-Industrial

    Installing ROS-Industrial packages

    Block diagram of ROS-Industrial packages

    Creating URDF for an industrial robot

    Creating MoveIt! configuration for an industrial robot

    Updating the MoveIt! configuration files

    Testing the MoveIt! configuration

    Installing ROS-Industrial packages of universal robotic arm

    Installing the ROS interface of universal robots

    Understanding the Moveit! configuration of a universal robotic arm

    Working with MoveIt! configuration of ABB robots

    Understanding the ROS-Industrial robot support packages

    Visualizing the ABB robot model in RViz

    ROS-Industrial robot client package

    Designing industrial robot client nodes

    ROS-Industrial robot driver package

    Understanding MoveIt! IKFast plugin

    Creating the MoveIt! IKFast plugin for the ABB-IRB6640 robot

    Prerequisites for developing the MoveIt! IKFast plugin

    OpenRave and IK Fast Module

    MoveIt! IK Fast

    Installing MoveIt! IKFast package

    Installing OpenRave on Ubuntu 14.04.3

    Creating the COLLADA file of a robot to work with OpenRave

    Generating the IKFast CPP file for the IRB 6640 robot

    Creating the MoveIt! IKFast plugin

    Questions

    Summary

    12. Troubleshooting and Best Practices in ROS

    Setting up Eclipse IDE on Ubuntu 14.04.3

    Setting ROS development environment in Eclipse IDE

    Global settings in Eclipse IDE

    ROS compile script for Eclipse IDE

    Adding ROS Catkin package to Eclipse

    Adding run configurations to run ROS nodes in Eclipse

    Best practices in ROS

    ROS C++ coding style guide

    Standard naming conventions used in ROS

    Code license agreement

    ROS code formatting

    ROS code documentation

    Console output

    Best practices in the ROS package

    Important troubleshooting tips in ROS

    Usage of roswtf

    Questions

    Summary

    Index

    Mastering ROS for Robotics Programming


    Mastering ROS for Robotics Programming

    Copyright © 2015 Packt Publishing

    All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

    Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

    Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

    First published: December 2015

    Production reference: 1141215

    Published by Packt Publishing Ltd.

    Livery Place

    35 Livery Street

    Birmingham B3 2PB, UK.

    ISBN 978-1-78355-179-8

    www.packtpub.com

    Credits

    Author

    Lentin Joseph

    Reviewers

    Jonathan Cacace

    Ruixiang Du

    Acquisition Editor

    Vivek Anantharaman

    Content Development Editor

    Athira Laji

    Technical Editor

    Ryan Kochery

    Copy Editor

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    Proofreader

    Safis Editing

    Indexer

    Tejal Daruwale Soni

    Production Coordinator

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    Cover Work

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    About the Author

    Lentin Joseph is an author, entrepreneur, electronics engineer, robotics enthusiast, machine vision expert, embedded programmer, and the founder and CEO of Qbotics Labs (http://www.qboticslabs.com) from India. He completed his bachelor's degree in electronics and communication engineering at the Federal Institute of Science and Technology (FISAT), Kerala. For his final year engineering project, he made a social robot that can interact with people. The project was a huge success and was mentioned in many forms of visual and print media. The main features of this robot were that it can communicate with people and reply intelligently and has some image processing capabilities such as face, motion, and color detection. The entire project was implemented using the Python programming language. His interest in robotics, image processing, and Python started with that project.

    After his graduation, for 3 years he worked in a start-up company focusing on robotics and image processing. In the meantime, he learned famous robotic software platforms such as Robot Operating System (ROS), V-REP, Actin (a robotic simulation tool), and image processing libraries such as OpenCV, OpenNI, and PCL. He also knows robot 3D designing and embedded programming on Arduino and Tiva Launchpad.

    After 3 years of work experience, he started a new company called Qbotics Labs, which mainly focuses on research to build up some great products in domains such as robotics and machine vision. He maintains a personal website (http://www.lentinjoseph.com) and a technology blog called technolabsz (http://www.technolabsz.com). He publishes his works on his tech blog. He was also a speaker at PyCon2013, India, on the topic Learning Robotics using Python.

    Lentin is the author of the book Learning Robotics Using Python (refer to http://learn-robotics.com to know more) by Packt Publishing. The book was about building an autonomous mobile robot using ROS and OpenCV. The book was launched in ICRA 2015 and was featured in the ROS blog, Robohub, OpenCV, the Python website, and various other such forums.

    Lentin was a finalist in the ICRA 2015 challenge, HRATC (http://www2.isr.uc.pt/~embedded/events/HRATC2015/Welcome.html).

    I dedicate this book to my parents because they gave me the inspiration to write this book. I also convey my regards to my friends who helped and inspired me to write this book.

    About the Reviewers

    Jonathan Cacace was born in Naples, Italy, on December 13, 1987. He received has a bachelor's and master's degree in computer science from the University of Naples Federico II. Currently, he is attending a PhD Scholar Course in Information and Automation Engineering at the Department of Electrical Engineering and Information Technology (DIETI) in the same institution. His research is focused on autonomous action planning and execution by mobile robots, high-level and low-level control of UAV platforms, and human-robot interaction with humanoid robots in service task execution. He is the author and coauthor of several scientific publications in the robotics field, published at international conferences and scientific journals.

    Jonathan is a member of the PRISMA Laboratory (http://prisma.dieti.unina.it/) of the University of Naples Federico II. With his research group, he is involved in different EU-funded collaborative research projects focused on several topics, such as the use of unmanned aerial vehicles for search and rescue operations or service task execution (http://www.sherpa-project.eu/sherpa/ and http://www.arcas-project.eu/) and the dynamic manipulation of elastic objects using humanoid robotic platforms (http://www.rodyman.eu/).

    Ruixiang Du is currently a PhD student studying Robotics at Worcester Polytechnic Institute (WPI). He received his bachelor's degree in Automation from North China Electric Power University in 2011 and a master's degree in Robotics Engineering from WPI in 2013.

    Ruixiang has worked on various robotic projects with robot platforms ranging from medical robots, UAV/UGV, to humanoid robots. He was an active member of Team WPI-CMU for the DARPA Robotics Challenge.

    Ruixiang has general interests in robotics and in real-time and embedded systems. His research focus is on the control and motion planning of mobile robots in cluttered and dynamic environments.

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    Preface

    Mastering ROS for Robotics Programming is an advanced guide of ROS that is very suitable for readers who already have a basic knowledge in ROS. ROS is widely used in robotics companies, universities, and robotics research institutes for designing, building, and simulating a robot model and interfacing it into real hardware. ROS is now an essential requirement for Robotic engineers; this guide can help you acquire knowledge of ROS and can also help you polish your skills in ROS using interactive examples. Even though it is an advanced guide, you can see the basics of ROS in the first chapter to refresh the concepts. It also helps ROS beginners. The book mainly focuses on the advanced concepts of ROS, such as ROS Navigation stack, ROS MoveIt!, ROS plugins, nodelets, controllers, ROS Industrial, and so on.

    You can work with the examples in the book without any special hardware; however, in some sections you can see the interfacing of I/O boards, vision sensors, and actuators to ROS. To work with this hardware, you will need to buy it.

    The book starts with an introduction to ROS and then discusses how to build a robot model in ROS for simulating and visualizing. After the simulation of robots using Gazebo, we can see how to connect the robot to Navigation stack and MoveIt!. In addition to this, we can see ROS plugins, controllers, nodelets, and interfacing of I/O boards and vision sensors. Finally, we can see more about ROS Industrial and troubleshooting and best practices in ROS.

    What this book covers

    Chapter 1, Introduction to ROS and Its Package Management, gives you an understanding of the core underlying concepts of ROS and how to work with ROS packages.

    Chapter 2, Working with 3D Robot Modeling in ROS, discusses the design of two robots; one is a seven-DOF (Degree of Freedom) manipulator and the other is a differential drive robot.

    Chapter 3, Simulating Robots Using ROS and Gazebo, discusses the simulation of seven-DOF arms, differential wheeled robots, and ROS controllers that help control robot joints in Gazebo.

    Chapter 4, Using the ROS MoveIt! and Navigation Stack, interfaces out-of-the-box functionalities such as robot manipulation and autonomous navigation using ROS MoveIt! and Navigation stack.

    Chapter 5, Working with Pluginlib, Nodelets, and Gazebo Plugins, shows some of the advanced concepts in ROS, such as ROS pluginlib, nodelets, and Gazebo plugins. We will discuss the functionalities and application of each concept and can practice one example to demonstrate its working.

    Chapter 6, Writing ROS Controllers and Visualization Plugins, shows how to write a basic ROS controller for PR2 robots and robots similar to PR2. After creating the controller, we will run the controller using the PR2 simulation in Gazebo. We can also see how to create plugin for RViz.

    Chapter 7, Interfacing I/O Boards, Sensors, and Actuators to ROS, discusses interfacing some hardware components, such as sensors and actuators, with ROS. We will see the interfacing of sensors using I/O boards, such as Arduino, Raspberry Pi, and Odroid-C1, with ROS.

    Chapter 8, Programming Vision Sensors using ROS, Open-CV, and PCL, discusses how to interface various vision sensors with ROS and program it using libraries such as Open Source Computer Vision (Open-CV) and Point Cloud Library (PCL).

    Chapter 9, Building and Interfacing Differential Drive Mobile Robot Hardware in ROS, helps you to build autonomous mobile robot hardware with differential drive configuration and interface it with ROS. This chapter aims at giving you an idea of building a custom mobile robot and interfacing it with ROS.

    Chapter 10, Exploring the Advanced Capabilities of ROS-MoveIt!, discusses the capabilities of MoveIt! such as collision avoidance, perception using 3D sensors, grasping, picking, and placing. After that, we can see the interfacing of a robotic manipulator hardware with MoveIt!

    Chapter 11, ROS for Industrial Robots, helps you understand and install ROS-Industrial packages in ROS. We can see how to develop an MoveIt! IKFast plugin for an industrial robot.

    Chapter 12, Troubleshooting and Best Practices in ROS, discusses how to set the ROS development environment in Eclipse IDE, best practices in ROS, and troubleshooting tips in ROS.

    What you need for this book

    You should have a good PC running Linux distribution, preferably Ubuntu 14.04.3 or Ubuntu 15.04.

    Readers can use a laptop or PC with a graphics card, and a RAM of 4 GB to 8 GB is preferred. This is actually for running high-end simulation in Gazebo and also for processing Point cloud and for computer vision.

    The readers should have sensors, actuators, and the I/O board mentioned in the book and should have the provision to connect them all to their PC.

    The readers also need a Git tool installed to clone the packages files.

    If you are a Windows user, then it will be good to download Virtual box and set up Ubuntu in that. Working with Virtual box can have issues when we try to interface real hardware with ROS, so it would be good if you could work with the real system itself.

    Who this book is for

    If you are a robotics enthusiast or a researcher who wants to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book will also be good for programmers who want to explore the advanced features of ROS.

    Conventions

    In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

    Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: Create a folder called launch and inside this folder create the following launch file called start_laser.launch.

    A block of code is set as follows:

    #include

    #include

    #include

    When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

      robot_model_loader::RobotModelLoader robot_model_loader(robot_description);

      robot_model::RobotModelPtr

    kinematic_model =

    robot_model_loader.getModel();

      planning_scene::PlanningScene planning_scene(kinematic_model);

    Any command-line input or output is written as follows:

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    Chapter 1. Introduction to ROS and Its Package Management

    This is an introductory chapter that gives you an understanding of the core underlying concepts of ROS and how to work with ROS packages. We will also go through the ROS concepts such as ROS master, nodes, parameter server, topic, message, service, and actionlib to refresh your memory of the concepts you already know.

    The basic building blocks of the ROS software framework are ROS packages. We will see how to create, build, and maintain a ROS package. We will also see how to create a wiki page for our package on the ROS website to contribute to the ROS community.

    In this chapter, we will cover the following topics:

    Why should we learn ROS?

    Why we prefer ROS for robot

    Why we do not prefer ROS for robot

    Understanding the ROS file system level

    Understanding the ROS computation graph level

    Understanding ROS nodes, messages, topics, services, bags

    Understanding ROS Master

    Using ROS

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