Create ROS Nodes for Custom SLAM Algorithms
From the series: Modeling, Simulation, and Control
Learn 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 simultaneous localization and mapping (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, 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.
Published: 28 Oct 2022
