Create ROS Nodes for Custom SLAM (Simultaneous Localization and Mapping) Algorithms

 This video will show you how to estimate poses and create a map of an environment using the onboard sensors on a mobile robot in order to navigate an unknown environment in real-time, and how to deploy a C++ ROS node of the online SLAM algorithm on a robot powered by ROS using Simulink®. Mobile robots need the environment map and their pose in real time to navigate in an unknown environment.

The lidarSLAM MATLAB® object provides this capability by receiving laser scans as inputs and using them to estimate the pose of the robot and generate maps in real-time. After watching this video, you will be able to use MATLAB® and Simulink® to create a custom online SLAM algorithm for your mobile robot and then deploy a C++ ROS node to your robots powered by ROS. Download code and files used in this video: https://bit.ly/3VlNew9 Documentation and additional resources: - lidarSLAM: https://bit.ly/3isI6rH - Implement Online Simultaneous Localization And Mapping (SLAM) with Lidar Scans: https://bit.ly/3AZLPU4 - Simultaneous Localization and Mapping: https://bit.ly/3FgXboZ - System Objects: https://bit.ly/2YjRPp8 - How to Use MATLAB System Objects: https://www.youtube.com/watch?v=8V2TB...