[Series Part 2] CuGo V4 x ROS 2: Equipped with Lidar to recognize the surrounding environment!

The second installment of our series on how to make the crawler robot development platform " CuGo V4 " autonomously move using ROS 2 has been published.

This time, we will be installing a distance measurement sensor called "Lidar," which will act as the robot's "eyes," and will provide a detailed explanation of the steps to visualize and optimize the data on ROS 2.

• Lidar scans the surroundings : Using infrared light, CuGo V4 detects obstacles in all directions, enabling it to grasp the surrounding environment, a prerequisite for AGVs and autonomous robots.
• Optimizing sensor data (filtering) : We will introduce how to set up a "laser filter" that extracts only the necessary data to prevent the robot's own body (such as an aluminum frame) from being mistakenly detected as an obstacle.
• Ready for autonomous driving : This setup lays the foundation for the next steps, which are SLAM (single-level mapping) and localization.

This is a practical guide that goes into detail about specific commands to make development go more smoothly and how to rewrite configuration files.

[For more information, click here (official website)]

For details on how to install the Lidar and how to install and run the ROS 2 package, please see the engineering blog.

Run CuGo V4 with ROS 2! Part 2: Lidar Utilization is here

[Purchase from the online store]

The CuGo V4, which is ideal as a base machine for an autonomous driving robot, can be purchased here.

🛒 Buy CuGo V4 Development Platform here