Enhance your programming skills to build exciting robotic projects
Key Features
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
Book DescriptionC++ 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
Who this book is forThis book is for developers, programmers, and robotics enthusiasts interested in leveraging C++ to build exciting robotics applications. Prior knowledge of C++ is necessary to understand the projects covered in this book.
Sprache
Verlagsort
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-1-78913-900-6 (9781789139006)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Table of Contents
Introduction to Raspberry Pi
Implementing Blink with Wiring Pi
Construction & Movement of Robot
Building Obstacle Avoiding Robot
Controlling Robot using Desktop
Accessing Rpi Cam with OpenCV
Building Object Following Robot with OpenCV
Constructing Emotion Recognition Robot
Building Voice Control Robot