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A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPlidar A1 sensor used for Simultaneous Localization and Mapping (SLAM), autonomous navigation and obstacle avoidance.
LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
URDF model with robot_state_publisher to simulate a walking robot in Rviz. The latest version of this tutorial is already merged in the official ROS 2 Documentation
Docker hacks for quick and easy access to ROS2 and ROS1 along with their GUI applications like Gazebo and rViz without the need for a local installation