RTAB-Map in ROS 101 Course - Python

Learn how to use the rtabmap_ros package for performing RGB-D SLAM

RTAB-Map in ROS 101 course

Course Summary

RTAB-Map (Real-Time Appearance-Based Mapping) is a RGB-D SLAM approach based on a loop closure detector.

The loop closure detector uses a bag-of-words approach in order to determinate if a new image detected by an RGB-D sensor it is from a new location or from a location that it has been already visited.

Of course, this is a very summarized explanation, you will get more details on how this loop closure detector works inside this Course.

What you will learn

During this Course you will address the following topics:

  1. Basics of RTAB-Map.
  2. How to use the rtabmap_ros package.
  3. How does loop closure detection work internally.
  4. How to create a 3D Map of an environment.
  5. Autonomous Navigation using RGB-D SLAM.

Course Overview

Introduction to the Course

A brief Introduction to the contents of the Course

Basic Concepts

Some Basic Concepts RTAB-Map and the rtabmap_ros package

Autonomous Navigation with rtabmap_ros

Create a Map, Localize your robot and perform Autonomous Navigation with the rtabmap_ros package


Alberto Ezquerro

Making easier the way the people learn how to program robots.

Alberto Ezquerro

Robots used

Turtlebot robot

Turtlebot robot

Learning Path

Robot Navigation

Robot Navigation


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