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Learning ROS for Robotics Programming Second Edition

Learning ROS for Robotics Programming Second Edition

By : Mahtani, Aaron Martinez
4 (8)
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Learning ROS for Robotics Programming Second Edition

Learning ROS for Robotics Programming Second Edition

4 (8)
By: Mahtani, Aaron Martinez

Overview of this book

If you have ever tried building a robot, then you know how cumbersome programming everything from scratch can be. This is where ROS comes into the picture. It is a collection of tools, libraries, and conventions that simplifies the robot building process. What’s more, ROS encourages collaborative robotics software development, allowing you to connect with experts in various fields to collaborate and build upon each other's work. Packed full of examples, this book will help you understand the ROS framework to help you build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS. Starting at an introductory level, this book is a comprehensive guide to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, navigation algorithms, and more. You will then go on to explore concepts like topics, messages, and nodes. Next, you will learn how to make your robot see with HD cameras, or navigate obstacles with range sensors. Furthermore, thanks to the contributions of the vast ROS community, your robot will be able to navigate autonomously, and even recognize and interact with you in a matter of minutes. What’s new in this updated edition? First and foremost, we are going to work with ROS Hydro this time around. You will learn how to create, visualize, and process Point Cloud information from different sensors. This edition will also show you how to control and plan motion of robotic arms with multiple joints using MoveIt! By the end of this book, you will have all the background you need to build your own robot and get started with ROS.
Table of Contents (12 chapters)
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11
Index

Visualizing node diagnostics


ROS nodes can provide diagnostic information using the diagnostics topic. For that, there is an API that helps to publish diagnostic information in a standard way. The information follows the diagnostic_msgs/DiagnositcStatus message type, which allows us to specify a level (OK, WARN, ERROR), name, message, and hardware ID as well as a list of diagnostic_msgs/KeyValue, which are pairs of key and value strings.

The interesting part comes with the tools to collect and visualize this diagnostic information. At the basic level, rqt_runtime_monitor allows us to visualize the information directly published through the diagnostics topic. Run the example7 node, which publishes information through the diagnostics topic and this visualization tool to see the diagnostic information:

$ roslaunch chapter3_tutorials example7.launch
$ rosrun rqt_runtime_monitor rqt_runtime_monitor

The preceding commands display the following output:

When the system is large, we can aggregate diagnostic...

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