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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Chapter 4. Controlling Embedded Boards Using ROS

Do you know how a robot makes decisions according to its sensor data? It has a processing unit, right? The processing unit can be either a computer or a microcontroller. We are using high-end computers to process data if the robot has sensors such as camera, laser scanners, and LIDARs. On the other hand, microcontrollers are commonly used in all kind of robots for interfacing low-bandwidth sensors and for performing real-time tasks. Both these units are commonly found in a standard robotic system.

In small robots such as line follower, we may do everything using a single controller. The sensors such as ultrasonic distance sensors, Imus can easily interface with a microcontroller. So in a robotic system, these two units can work independently, and there will be some kind of communication happening between them.

In this chapter, we will discuss how we can communicate with an embedded controller board from a computer...

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