This article presents a comprehensive implementation of a 3D navigation prototype using ROS2. The author covers the entire pipeline, starting from point cloud data acquisition using LiDAR or depth cameras, through processing and mapping, to dynamic obstacle avoidance algorithms. The system is designed to run in real-time and demonstrates the integration of multiple ROS2 packages. Key challenges addressed include sensor fusion, path planning in 3D space, and reactive obstacle avoidance. The prototype is tested in simulated environments and shows promising results for real-world applications in robotics and autonomous systems. This work is a valuable reference for developers looking to build similar navigation capabilities.
A detailed walkthrough of creating a 3D navigation system using ROS2, including point cloud processing and dynamic obstacle avoidance.