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Hands-On ROS for Robotics Programming

You're reading from  Hands-On ROS for Robotics Programming

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781838551308
Pages 432 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Bernardo Ronquillo Japón Bernardo Ronquillo Japón
Profile icon Bernardo Ronquillo Japón

Table of Contents (19) Chapters

Preface Section 1: Physical Robot Assembly and Testing
Assembling the Robot Unit Testing of GoPiGo3 Getting Started with ROS Section 2: Robot Simulation with Gazebo
Creating the Virtual Two-Wheeled ROS Robot Simulating Robot Behavior with Gazebo Section 3: Autonomous Navigation Using SLAM
Programming in ROS - Commands and Tools Robot Control and Simulation Virtual SLAM and Navigation Using Gazebo SLAM for Robot Navigation Section 4: Adaptive Robot Behavior Using Machine Learning
Applying Machine Learning in Robotics Machine Learning with OpenAI Gym Achieve a Goal through Reinforcement Learning Assessment Other Books You May Enjoy

Robot perception and SLAM

The most straightforward way to implement robot navigation in ROS is by using an LDS that provides 360° coverage, allowing the robot to be aware of all the objects and obstacles around it.

In the introduction to this chapter, we identified the EAI YDLIDAR X4 as a low-cost option that can be integrated with our physical robot. That will be covered in the next chapter, while in the present one we will develop its virtual model to be integrated in Gazebo.

The next subsection extends the virtual GoPiGo3 that we've worked on in this chapter to include this very model of LDS. Afterward, we will deploy a quick SLAM example to get an overview of what this functionality can provide to robot navigation.

Adding a Laser Distance Sensor (LDS)

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