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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

Debugging ROS nodes

ROS nodes can be debugged as regular programs. They run as a process in the operative system and have a PID. Therefore, you can debug them as with any program using standard tools, such as gdb. Similarly, you can check for memory leaks with valgrind or profile the performance of your algorithm with callgrind. However, remember that in order to run a node, you must run the following command:

$ rosrun chapter3_tutorials example1

Unfortunately, you cannot run the command in the following way:

$ gdb rosrun chapter3_tutorials example1

In the next sections, we will explain how to call these tools for an ROS node to overcome this issue. Later, we will see how to add a logging message to our code in order to make it simple to diagnose problems that, in practice, helps to diagnose basic problems even without debugging the binaries. Similar, later on, we will discuss ROS introspection tools that allow detecting broken connections between nodes easily. Therefore, although here we...

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