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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

Setting up rviz for the navigation stack


It is good practice to visualize all possible data which what the navigation stack does. In this section, we will show you the visualization topic that you must add to rviz to see the correct data sent by the navigation stack. Discussions on each visualization topic that the navigation stack publishes are given next.

The 2D pose estimate

The 2D pose estimate (P shortcut) allows the user to initialize the localization system used by the navigation stack by setting the pose of the robot in the world.

The navigation stack waits for the new pose of a new topic with the name initialpose. This topic is sent using the rviz windows where we previously changed the name of the topic.

You can see in the following screenshot how you can use initialpose. Click on the 2D Pose Estimate button, and click on the map to indicate the initial position of your robot. If you don't do this at the beginning, the robot will start the auto-localization process and try to set an...

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