We implement high-fidelity physical models in 3D environments to provide realistic mission simulations for aerial and ground vehicles. For aerial simulations, the JSBSim flight dynamics model ensures accurate flight physics, while custom-generated 3D maps enable true-to-life navigation. Ground vehicle simulations feature custom LiDAR integration and Chaos Physics for precise interaction with varied terrain, creating highly realistic training scenarios.

To enhance simulation diversity, procedural content generation delivers dynamic landscapes, making each scenario immersive and unique. By integrating machine learning and AI neural networks, we use these simulations to train autonomous control systems for unmanned ground vehicles (UGVs) in a safe, virtual environment, ensuring robust and reliable real-world performance.