Robotics
Simulated human crowds for training, testing and validating autonomous systems — integrated with NVIDIA Omniverse and Unreal Engine.
Build large-scale agent populations that move, react and interact in physics-aware environments. Train in Omniverse, generate synthetic datasets in Unreal Engine, and export trajectories, annotations and sensor-ready data for perception and planning stacks.
Capabilities
Synthetic data
Generate labeled crowd motion in Unreal Engine for perception, prediction and planning models.
Scenario testing
Stress-test autonomy stacks against dense, unpredictable pedestrian traffic.
Agent control
Direct individuals or groups with behaviors that stay believable at scale.
Supported platforms
- NVIDIA Omniverse — robotics training and simulation
- Unreal Engine — synthetic data generation
Train with believable motion
Use NVIDIA Omniverse to populate digital twins and training environments with crowds that negotiate space, react to vehicles and adapt to layout changes — so your models see the edge cases early.
From layout to labeled output
Author scenes once in Unreal Engine or Omniverse, then stream trajectories, occupancy and annotations into your robotics pipeline. Iterate on density, intent and environment without reshooting the world.
Ready for robotics?
Start simulating crowds for autonomy, HRI and synthetic data workflows.