ROS SLAM Corgi Robot Platform

The ROS SLAM Corgi is a professional robotics learning and research platform designed for SLAM mapping, autonomous navigation, and AI vision development. Equipped with 360° LiDAR, IMU, ESP32 controller, and HD camera, it delivers real-time environment perception, localization, and intelligent motion control using ROS1/ROS2 frameworks.

The LiDAR + IMU sensor fusion enables accurate mapping and positioning, while the HD camera with OpenCV support allows object detection, line tracking, and visual recognition. Students can visualize mapping in RViz and simulate navigation in Gazebo, learning real-world robotics workflows such as gmapping, navigation stack, and slam_toolbox.

Powered by an ESP32 control board, the system manages low-level hardware communication and integrates seamlessly with ROS. It supports Python and C++ programming, enabling development of sensor processing, path planning, PID control, and AI algorithms.

With a modular plug-and-play design (no soldering) and WiFi remote control, users can easily assemble, monitor, and test robotics experiments. The aluminum chassis and precision motors ensure durability and stability for both classroom and research use.

Ideal for STEM education, university labs, AI research, and robotics competitions, this ROS robot platform helps learners master SLAM, sensor fusion, autonomous navigation, and AI robotics systems across UAE and GCC.