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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

Low-cost LIDAR sensors

This is an add-on section for hobbyists. If you are planning to build a miniature model of a self-driving car, you can use the following LIDAR sensors.

Sweep LIDAR

The Sweep 360-degree rotating LIDAR (http://scanse.io/) has a range of 40 meters. Compared to high-end LIDARs such as Velodyne, it is very cheap and good for research and hobby projects:

Sweep LIDAR

Figure 28: Sweep LIDAR

There is a good ROS interface available for this sensor. Here's the link to the Sweep sensor ROS package: https://github.com/scanse/sweep-ros. Before building the package, you need to install some dependencies:

$ sudo apt-get install ros-kinetic-pcl-conversions ros-kinetic-pointcloud-to-laserscan

Now you can simply copy the sweep-ros package to your Catkin workspace and build it using the catkin_make command.

After building the package, you can plug the LIDAR to your PC through a serial-to-USB converter. If you plug this converter into a PC, Ubuntu will assign a device called /dev/ttyUSB0. First...

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