Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, Open-CV, PCL, and Phython / Lentin Joseph.

Format:

Book

Author/Creator:

Joseph, Lentin, author.

Language:

English

Subjects (All):

Python (Computer program language).

Robotics.

Automation.

Physical Description:

1 online resource (273 pages)

Edition:

Second edition.

Place of Publication:

Birmingham : Packt, [2018]

System Details:

text file

Biography/History:

Joseph Lentin: Lentin Joseph is an author and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in India. He has 7 years of experience in the robotics domain primarily in ROS, OpenCV, and PCL. He has authored four books in ROS, namely, Learning Robotics using Python, Mastering ROS for Robotics Programming, ROS Robotics Projects, and Robot Operating System for Absolute Beginners. He is currently pursuing his master's in Robotics from India and is also doing research at Robotics Institute, CMU, USA.

Summary:

Design, simulate, and program interactive robots About This Book Design, simulate, build, and program an interactive autonomous mobile robot Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python Who This Book Is For This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You're expected to have a basic understanding of Linux commands and Python. What You Will Learn Design a differential robot from scratch Model a differential robot using ROS and URDF Simulate a differential robot using ROS and Gazebo Design robot hardware electronics Interface robot actuators with embedded boards Explore the interfacing of different 3D depth cameras in ROS Implement autonomous navigation in ChefBot Create a GUI for robot control In Detail Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package. Style and approach A step-by-step guide which will help you to create an autonomous mobile robot with the help of ROS and Python. It will help you to understand and implement the fundamental concepts of differential robots and teach you to create differential robot's simulation using Gazebo.

Contents:

Cover

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Getting Started with Robot Operating System

Technical requirements

Introduction to ROS

ROS concepts

The ROS filesystem

The ROS Computation Graph

The ROS community level

Installing ROS on Ubuntu

Introducing catkin

Creating a ROS package

Hello_world_publisher.py

Hello_world_subscriber.py

Introducing Gazebo

Installing Gazebo

Testing Gazebo with the ROS interface

Summary

Questions

Chapter 2: Understanding the Basics of Differential Robots

Mathematical modeling of the robot

Introduction to the differential drive system and robot kinematics

Forward kinematics of a differential robot

Explanations of the forward kinematics equation

Inverse kinematics

Further information

Chapter 3 : Modeling the Differential Drive Robot

Requirements of a service robot

Robot drive mechanism

Selection of motors and wheels

Calculation of RPM of motors

Calculation of motor torque

The design summary

The robot chassis design

Installing LibreCAD, Blender, and MeshLab

Installing LibreCAD

Installing Blender

Installing MeshLab

Creating 2D CAD drawing of a robot using LibreCAD

The base plate designs

Base plate pole design

Wheel, motor, and motor clamp design

Caster wheel design

Middle plate design

Top plate design

Working with a 3D model of the robot using Blender

Python scripting in Blender

Introduction to Blender Python APIs

Python script of the robot model

Creating a URDF model of the robot

Creating a Chefbot description ROS package

Further reading

Chapter 4: Simulating a Differential Drive Robot Using ROS.

Technical requirements

Getting started with the Gazebo simulator

The Gazebo's graphical user interface

The Scene

The Left Panel

Right Panel

Gazebo toolbars

Upper toolbar

Bottom toolbar

Working with a TurtleBot 2 simulation

Moving the robot

Creating a simulation of Chefbot

Depth image to laser scan conversion

URDF tags and plugins for Gazebo simulation

Cliff sensor plugin

Contact sensor plugin

Gyroscope plugin

Differential drive plugin

Depth camera plugin

Visualizing the robot sensor data

Getting started with Simultaneous Localization and Mapping

Implementing SLAM in the Gazebo environment

Creating a map using SLAM

Getting started with Adaptive Monte Carlo Localization

Implementing AMCL in the Gazebo environment

Autonomous navigation of Chefbot in the hotel using Gazebo

Chapter 5: Designing ChefBot Hardware and Circuits

Specifications of the ChefBot's hardware

Block diagram of the robot

Motor and encoder

Selecting motors, encoders, and wheels for the robot

Motor driver

Selecting a motor driver/controller

Input pins

Output pins

Power supply pins

Embedded controller board

Ultrasonic sensors

Selecting an ultrasonic sensor

Inertial measurement unit

Kinect/Orbbec Astra

Central processing unit

Speakers/mic

Power supply/battery

How ChefBot's hardware works'?

Chapter 6: Interfacing Actuators and Sensors to the Robot Controller

Interfacing DC geared motor to Tiva C LaunchPad

Differential wheeled robot

Installing Energia IDE

Motor interfacing code

Interfacing quadrature encoder with Tiva C Launchpad

Processing encoder data

Quadrature encoder interfacing code.

Working with Dynamixel actuators

Working with ultrasonic distance sensors

Interfacing HC-SR04 to Tiva C LaunchPad

Working of HC-SR04

Interfacing Code of Tiva C Launchpad

Interfacing Tiva C LaunchPad with Python

Working with the IR proximity sensor

Working with Inertial Measurement Units

Inertial navigation

Interfacing MPU 6050 with Tiva C LaunchPad

Setting the MPU 6050 library in Energia

Interfacing code of Energia

Chapter 7: Interfacing Vision Sensors with ROS

List of robotic vision sensors and image libraries

Pixy2/CMUcam5

Logitech C920 webcam

Kinect 360

Intel RealSense D400 series

Orbbec Astra depth sensor

Introduction to OpenCV, OpenNI, and PCL

What is OpenCV?

Installation of OpenCV from the source code in Ubuntu

Reading and displaying an image using the Python-OpenCV interface

Capturing from the web camera

What is OpenNI?

Installing OpenNI in Ubuntu

What is PCL?

Programming Kinect with Python using ROS, OpenCV, and OpenNI

How to launch the OpenNI driver

The ROS interface with OpenCV

Creating a ROS package with OpenCV support

Displaying Kinect images using Python, ROS, and cv_bridge

Interfacing Orbbec Astra with ROS

Installing the Astra-ROS driver

Working with point clouds using Kinect, ROS, OpenNI, and PCL

Opening the device and generating a point cloud

Conversion of point cloud data to laser scan data

Working with SLAM using ROS and Kinect

Chapter 8: Building ChefBot Hardware and the Integration of Software

Building ChefBot hardware

Configuring ChefBot PC and setting ChefBot ROS packages

Interfacing ChefBot sensors to the Tiva-C LaunchPad

Embedded code for ChefBot.

Writing a ROS Python driver for ChefBot

Understanding ChefBot ROS launch files

Working with ChefBot Python nodes and launch files

Working with SLAM on ROS to build a map of the room

Working with ROS localization and navigation

Chapter 9: Designing a GUI for a Robot Using Qt and Python

Installing Qt on Ubuntu 16.04 LTS

Working with Python bindings of Qt

PyQt

Installing PyQt in Ubuntu 16.04 LTS

PySide

Installing PySide on Ubuntu 16.04 LTS

Working with PyQt and PySide

Introducing Qt Designer

Qt signals and slots

Converting a UI file into Python code

Adding a slot definition to PyQt code

Operation of the Hello World GUI application

Working with ChefBot's control GUI

Installing and working with rqt in Ubuntu 16.04 LTS

Assessments

Other Books You May Enjoy

Index.

Notes:

Includes bibliographical references.

Description based on print version record.

ISBN:

9781788629973

1788629973

OCLC:

1043657914