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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 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 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

Summary

In this chapter, we designed and built an autonomous mobile robot from scratch. The design of the robot started with its specification. From the specification, we designed various parameters of the robot, such as motor torque and speed. After finding out each parameter, we modeled the robot chassis and simulated it using ROS and Gazebo. After simulation, we saw how to create the actual hardware. We selected the components and interconnected the sensors and actuators to the embedded board. We wrote the firmware of the embedded board. The board can communicate with the PC on which the ROS is running. The ROS driver node receives the data from the robot and interfaces with the gmapping and AMCL packages to perform autonomous navigation.

In the next chapter, we will see how to create a self-driving car and interface to Robot Operating System.

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