Scalable Navigation for
Simulation and Robotics
Simulation systems require accuracy, consistency, and scalability. Traditional pathfinding becomes unstable under load. StrataNav provides deterministic, scalable navigation infrastructure.
The Simulation Problem
In simulations, hundreds of entities move simultaneously, environments change dynamically, and pathfinding must remain stable across long-running scenarios. As agent count increases, traditional A*-based systems produce unstable performance — varying frame times, inconsistent behavior, and unpredictable results.
What StrataNav Provides
StrataNav precomputes a navigation field and serves all queries from it with consistent, predictable latency. Agent count does not affect per-query cost. Environmental changes are handled by field recomputation — not per-agent re-solving.
Key Benefits for Simulation
→ Stable performance under load — no degradation as entity count scales
→ Predictable navigation behavior for reproducible simulation results
→ Multi-agent coordination without per-pair collision resolution
→ Server-side execution — simulation compute resources stay focused on the simulation
Applications
→ Warehouse robotics simulation and path planning
→ Crowd modeling and pedestrian flow analysis
→ Traffic simulation and routing optimization
→ Autonomous vehicle testing environments
→ Emergency evacuation modeling
API Integration
StrataNav integrates via HTTP JSON — compatible with any simulation framework, any programming language, any platform. No proprietary SDK required.