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


Hands-On Robotics Programming with C++: Leverage Raspberry Pi 3 and C++ libraries to build intelligent robotics applications
Authors: Dinesh Tavasalkar
ISBN-10: 1789139007
ISBN-13: 9781789139006
Released: 2019-03-30
Print Length 页数: 312 pages

Book Description


Enhance your programming skills to build exciting robotic projects
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. To follow along with the projects covered in the book,you can implement C programs in Raspberry Pi with the wiringPi library.
With this book,you’ll develop a fully functional car robot and write programs to move it in different directions. You’ll then create an obstacle – avoiding robot using an ultrasonic sensor. Furthermore,you’ll find out how to control the robot wirelessly using your PC/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 in Raspberry Pi compatible with C++ programming
Program the Raspberry Pi in C++ to run a motor
Control RPi-powered robot wirelessly with your laptop or PC
Program an RPi camera using OpenCV Control a Raspberry Pi robot with voice commands
Implement face and object detection with Raspberry Pi
contents
1 Introduction to the Raspberry Pi
2 Implementing Blink with wiringPi
3 Programming the Robot
4 Building an Obstacle-Avoiding Robot
5 Controlling a Robot Using a Laptop
6 Accessing the RPi Camera with OpenCV
7 Building an Object-Following Robot with OpenCV
8 Face Detection and Tracking Using the Haar Classifier
9 Building a Voice-Controlled Robot

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