Impact-Site-Verification: dbe48ff9-4514-40fe-8cc0-70131430799e

Search This Blog

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: Documentation and additional resources: - lidarSLAM: - Implement Online Simultaneous Localization And Mapping (SLAM) with Lidar Scans: - Simultaneous Localization and Mapping: - System Objects: - How to Use MATLAB System Objects:

No comments