Physical simulations on Unity
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Updated
Jul 24, 2026 - C#
Physical simulations on Unity
Autonomous UAV navigation system featuring real-time 2.5D occupancy-grid mapping, A* global path planning, and depth + LiDAR sensor fusion for dynamic obstacle avoidance in complex urban environments. Fully integrated with ROS 2, PX4 Offboard control, and Gazebo simulation for high-fidelity testing and deployment.
An autonomous robot, powered by AI.
🛸 Navigate urban environments with this autonomous UAV system using real-time occupancy grid mapping and dynamic obstacle avoidance for safe and efficient flights.
Using DepthCleaner of OpenCV-RGB-Depth in python via pybind
This example shows how to detect objects in an image using Royale's Python wrapper and the pre-trained YOLO network
The scope of the project covers the creation of 3D grid-based maps with point clouds (Point Cloud) and point clouds provided by depth sensors.
Mapping & localization for B1 indoor navigation (build from zero)
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