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
Mastering ROS for Robotics Programming

You're reading from   Mastering ROS for Robotics Programming Design, build, and simulate complex robots using the Robot Operating System

Arrow left icon
Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478953
Length 580 pages
Edition 2nd Edition
Languages
Tools
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Jonathan Cacace Jonathan Cacace
Author Profile Icon Jonathan Cacace
Jonathan Cacace
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Introduction to ROS FREE CHAPTER 2. Getting Started with ROS Programming 3. Working with 3D Robot Modeling in ROS 4. Simulating Robots Using ROS and Gazebo 5. Simulating Robots Using ROS and V-REP 6. Using the ROS MoveIt! and Navigation Stack 7. Working with pluginlib, Nodelets, and Gazebo Plugins 8. Writing ROS Controllers and Visualization Plugins 9. Interfacing I/O Boards, Sensors, and Actuators to ROS 10. Programming Vision Sensors Using ROS, Open CV, and PCL 11. Building and Interfacing Differential Drive Mobile Robot Hardware in ROS 12. Exploring the Advanced Capabilities of ROS-MoveIt! 13. Using ROS in MATLAB and Simulink 14. ROS for Industrial Robots 15. Troubleshooting and Best Practices in ROS 16. Other Books You May Enjoy

Understanding ROS - PCL interfacing packages


The point cloud data can be defined as a group of data points in some coordinate system. In 3D, it has x, y, and z coordinates. The PCL library is an open source project for handling 2D/3D images and point cloud processing.

Like OpenCV, it is under BSD license, and free for academic and commercial purposes. It is also a cross-platform packages that has support in Linux, Windows, macOS, and Android/iOS.

The library consists of standard algorithms for filtering, segmentation, feature estimation, and so on, which are required to implement different point cloud applications. The main web page of the point cloud library can be found at http://pointclouds.org/.

The point cloud data can be acquired by sensors such as Kinect, Asus Xtion Pro, Intel Real Sense, and others. We can use this data for robotic applications, such as robot object manipulation and grasping. PCL is tightly integrated into ROS for handling point cloud data from various sensors. The...

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