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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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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

Software block diagram of self-driving cars

In this section, we will discuss a basic software block diagram of a self-driving car that was in DARPA Challenge:

Software block diagram of self-driving cars

Figure 11: Software block diagram of a self-driving car

Let's learn what each block means. Each block can interact with others using inter-process communication (IPC) or shared memory. ROS messaging middleware is a perfect fit in this scenario. In DARPA Challenge, they implemented a publish/subscribe mechanism to do these tasks. One of the IPC library development by MIT for 2006 DARPA challenge was Lightweight Communications and Marshalling (LCM). You may can learn more about LCM from the following link (https://lcm-proj.github.io/).

  • Sensor interface modules: As the name of the module indicates, all the communication between the sensors and the vehicle is done in this block. The block enables us to provide the various kinds of sensor data to all other blocks. The main sensors include LIDAR, camera, radar, GPS, IMU, and wheel encoders...
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