Build an intelligent robot that can detect and avoid obstacles and respond to voice commands
Detect and track objects and faces using OpenCV
Control your robot with a GUI button designed using Qt5

Description

C++ is one of the most popular legacy programming languages for robotics, and a combination of C++ and robotics hardware is used in many leading industries. This book will bridge the gap between Raspberry Pi and C/C++ programming and enable you to develop applications for Raspberry Pi. You'll even be able to implement C programs in Raspberry Pi with the WiringPi library. The book will guide you through developing a fully functional car robot and writing programs to move it in different directions. You’ll then create an obstacle-avoiding robot using an ultrasonic sensor. In addition to this, you’ll find out how to control the robot wirelessly using your PC or Mac. This book will also help you work with object detection and tracking using OpenCV, and guide you through exploring face detection techniques. Finally, you will create an Android app and control the robot wirelessly with an Android smartphone. By the end of this book, you will have gained experience in developing a robot using Raspberry Pi and C/C++ programming.

What you will learn

Install software on a Raspberry Pi compatible with C++ programming Program the Raspberry Pi in C++ to run a motor Control a Raspberry Pi-powered robot wirelessly with your laptop or PC Program a Raspberry Pi camera using OpenCV Control a Raspberry Pi robot with voice commands Implement face and object detection with Raspberry Pi

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Product Details

Publication date : Mar 30, 2019

Length 312 pages

Edition : 1st Edition

Language : English

ISBN-13 : 9781789139006

Category :

IoT & Hardware

Languages :

C++ (Beginner)

Concepts :

Robotics

16 Chapters

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

1. Section 1: Getting Started with wiringPi on a Raspberry Pi

Section 1: Getting Started with wiringPi on a Raspberry Pi

2. Introduction to the Raspberry Pi

Introduction to the Raspberry Pi

Technical requirements

Understanding the Raspberry Pi

Setting up a Raspberry Pi 3B+ as a desktop computer

Connecting the Raspberry Pi 3B+ to a laptop via Wi-Fi

Setting up the Raspberry Pi Zero W as a desktop computer

Connecting the Raspberry Pi Zero W to a laptop via Wi-Fi

Summary

Questions

3. Implementing Blink with wiringPi

Implementing Blink with wiringPi

Technical requirements

Installing the wiringPi library in the Raspberry Pi

Making an LED blink

Smart light – working with digital sensor

Pulse Width Modulation using softPWM

Summary

Questions

4. Section 2: Raspberry Pi Robotics

Section 2: Raspberry Pi Robotics

5. Programming the Robot

Programming the Robot

Technical requirements

Choosing a robot chassis

Constructing and connecting the robot

Working with H-bridge

Moving the robot

Summary

Questions

6. Building an Obstacle-Avoiding Robot

Building an Obstacle-Avoiding Robot

Technical requirements

Using an ultrasonic sensor

Using an LCD

Building an obstacle-avoiding robot

Summary

Questions

7. Controlling a Robot Using a Laptop

Controlling a Robot Using a Laptop

Technical requirements

Installing the ncurses library

Controlling LEDs and a buzzer using ncurses

Controlling a rover using a laptop keyboard

Installing and setting up QT5

Controlling LEDs with GUI buttons

Controlling a rover using a laptop with QT5

Summary

Questions

8. Section 3: Face and Object Recognition Robot

Section 3: Face and Object Recognition Robot

9. Accessing the RPi Camera with OpenCV

Accessing the RPi Camera with OpenCV

Technical requirements

Installing OpenCV 4.0.0 on Raspberry Pi

Enabling and connecting the RPi camera to RPi

Capturing images and video with the RPi camera

Reading an image using OpenCV

Summary

Questions

10. Building an Object-Following Robot with OpenCV

Building an Object-Following Robot with OpenCV

Technical requirements

Image processing with OpenCV

Building an object-following robot

Summary

Questions

11. Face Detection and Tracking Using the Haar Classifier

Face Detection and Tracking Using the Haar Classifier

Technical requirements

Face detection using the Haar cascade

Detecting the eyes and smile

Face-tracking robot

Summary

Questions

12. Section 4: Smartphone-Controlled Robot

Section 4: Smartphone-Controlled Robot

13. Building a Voice-Controlled Robot

Building a Voice-Controlled Robot

Technical requirements

An introduction to App Inventor

Creating a voice-controlled bot app

Pairing the Android smartphone and RPi via Bluetooth

Developing the Bluetooth program for RPi

Summary

Questions

14. Assessments

Assessments

Chapter 1: Introduction to the Raspberry Pi

Chapter 2: Implementing Blink with wiringPi

Chapter 3: Programming the Robot

Chapter 4: Building an Obstacle-Avoiding Robot

Chapter 5: Controlling a Robot Using a Laptop

Chapter 6: Building an Object-Following Robot with OpenCV

Chapter 7: Accessing the RPi Camera with OpenCV

Chapter 8: Face Detection and Tracking Using the Haar Classifier

Chapter 9: Building a Voice-Controlled Robot

15. Other Books You May Enjoy

Other Books You May Enjoy

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Authors (2)

Lentin Joseph

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.

See other products by Lentin Joseph

Dinesh Tavasalkar

Dinesh Tavasalkar is a trainer and online instructor from India. He has trained more than 8,000+ students on topics related to robotics, Internet of Things, Arduino, Raspberry Pi, Android app development, augmented reality, and virtual reality. Dinesh's online courses have been undertaken by 25,000+ people on Udemy from more than 150+ countries. Some of his popular courses on Udemy include Robotics for beginners, Smartphone Control Robot using Arduino and Android, Build Augmented Reality apps using Unity and Vuforia, and Build Virtual Reality games for Google Cardboard using Unity. He also runs a YouTube channel called EngineersDream, where he teaches Android application development.

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Hands-On Robotics Programming with C++: Leverage Raspberry Pi 3 and C++ libraries to build intelligent robotics applications

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Product Details