Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Arrow right icon
View More author details
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

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime