Book Image

ROS Programming: Building Powerful Robots

By : Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph
Book Image

ROS Programming: Building Powerful Robots

By: Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph

Overview of this book

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a 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. We'll go through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects
Table of Contents (37 chapters)
Title page
Copyright and Credits
Packt Upsell
Preface
Bibliography
Index

Setting up the project


Let's set up the project. To finish this project, you may need the following electronic components. You can see the component name and the link to buy it from the following table:

No

Name

Link

1

Arduino Mega - 2560 with USB cable

https://www.sparkfun.com/products/11061

2

MPU - 9250 breakout

https://amzn.com/B00OPNUO9U

3

Male to Female jumper wires

https://amzn.com/B00PBZMN7C

4

Hand glove

https://amzn.com/B00WH4NXLA

 

You can use any Arduino having I2C communication. You can also use MPU - 6050 /9150, both of which are compatible with this project. A few words about the MPU - 9250 IMU: it is a 9-axis motion tracking device consisting of a gyro, accelerometer, and compass. MPU - 6050/9150/9250 models have an inbuilt Digital Motion Processor (DMP), which can fuse the accelerometer, gyro, and magnetometer values to get accurate 6DOF/9DOF motion components. In this project, we are only taking the yaw and pitch rotation components.

Note

If you want to learn more about I2C, check out the following...