Course
ROS
COmputer Vision
SLAM
Lesson 3:
SLAM
Part 3 of the AMOROSO² workshop on ROS, Computer Vision and SLAM.
If the video does not show up, either click here, or accept all cookies.
Learning Path
Sensors (slides)
SLAM (slides)
Workflow
- Open a terminal
- Navigate to the AMOROSO_RTAB_Map folder
- Start the AMOROSO_RTAB_Map docker environment using:
./003_start_ros_noetic_rtab.sh - Execute:
start_rtabmap_stereo.sh - Start the ROSNoeticDocker environment using:
./007_start_pxl_noetic_full_desktop_with_host_network.sh
- Open rviz
rviz
AMOROSO²
The AMOROSO² Project was a state funded AI & Robotics research project, conducted by the Expertise centre PXL Smart ICT (https://www.pxl.be/SmartICT.html) and the Research group ACRO at KU Leuven (https://iiw.kuleuven.be/onderzoek/acro).
The goal of the project was to implement real autonomous mobile robot projects for usage in uncertain environments.
Project website. https://amoroso.pxl.be
Get Started