RTAB-Map in ROS 101

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


Advanced Robot Programming with AI
1 hours
8 exercises
1 robot used
0% completed

Course overview

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 Summary

User Ratings

Order ratings by

ALIF AHAMED
Rated 5 stars out of 5
5.0
18/11/2022, 18:30:53
Jialei Li
Rated 2 stars out of 5
2.0
I am sorry to say this, but all the content is actually not clear. I completely copy the copy and follow the order, but just get different result. Do we need launch some other file or do some adjustments before launch rtab_package?
14/11/2022, 09:07:29
Dan Choy
Rated 5 stars out of 5
5.0
2/10/2022, 18:47:23
Misbah Suhail
Rated 2 stars out of 5
2.0
Details are not sufficient
21/9/2022, 06:11:22
cheng tang
Rated 4 stars out of 5
4.0
20/9/2022, 21:10:45
Felipe Fabricio
Rated 4 stars out of 5
4.0
13/9/2022, 19:01:08
Javier Rodriguez Gonzalez
Rated 3 stars out of 5
3.0
The last simulation was not working properly
5/9/2022, 12:50:28
Francisco José Mañas Álvarez
Rated 4 stars out of 5
4.0
25/8/2022, 11:32:12
Angelos Stathis
Rated 3 stars out of 5
3.0
Needs more explanation at section 3
25/8/2022, 08:24:04
Casey Silver
Rated 5 stars out of 5
5.0
Great course, you get to see the power of the RTAB node.
23/8/2022, 20:02:54
SII Canada
Rated 5 stars out of 5
5.0
1/8/2022, 19:16:31
Do-Gon Kim
Rated 3 stars out of 5
3.0
/./,.,.,.,.,.,.,.,
19/7/2022, 22:16:45
代普 愛
Rated 4 stars out of 5
4.0
6/6/2022, 13:16:36

Showing page 1 of 1. Total records: 13.

This course is part of this learning path:
Robot Navigation

Robot Used in This Course

Course Creators

Alberto Ezquerro