Train intelligent systems in simulation, operate them remotely through immersive technologies, and deploy them with greater confidence in real-world environments.
Immersive XR solutions for remote robot operation and human-machine interaction.
Generate physics-based sensor data for training and validating AI systems.
We train UAVs and drones using Physical AI and reinforcement learning in realistic, physics-based environments. Our simulations incorporate real-world physics, aerodynamics, fluid dynamics, sensor models, and environmental conditions. This enables autonomous systems to learn navigation and decision-making across complex and GPS-denied scenarios.
We train ground vehicles, UAVs, and drones using real-world data combined with physics-based simulation and diverse environments. Our platform models vehicle dynamics, sensor behavior, terrain, weather, and physical interactions to create realistic training conditions beyond conventional virtual scenes. This enables precise, repeatable testing and development of autonomous systems.
We develop XR-based teleoperation for robots operating in hazardous, inaccessible, or mission-critical environments. Realistic simulation combines physics, dynamics, sensors, environments, and human-in-the-loop interaction to replicate real operational conditions. Operators can train and validate robotic missions without exposing personnel to dangerous environments.