Fluid · Robotics
GPU-Accelerated Turbulence Modeling (RANS/LES) for Robotics
Apply the gpu-accelerated turbulence modeling (rans/les) to real robotics problems — in the browser, with AI assistance.
This is the gpu-accelerated variant of the Turbulence Modeling (RANS/LES). RANS averages the flow and models turbulence, while LES resolves large eddies and models the small ones — trading cost for fidelity.
In robotics, teams face challenges like contact dynamics, control stability, real-time performance. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as rigid-body dynamics, control-loop tuning, actuator modeling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Robotics use cases
- Rigid-body dynamics
- Control-loop tuning
- Actuator modeling
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