RTAB-Map in ROS 101 Course - Python
Learn how to use the rtabmap_ros package for performing RGB-D SLAM
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:
- Basics of RTAB-Map.
- How to use the
- How does loop closure detection work internally.
- How to create a 3D Map of an environment.
- Autonomous Navigation using RGB-D SLAM.
Introduction to the Course
A brief Introduction to the contents of the Course
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
Making easier the way the people learn how to program robots.