Meshing · Robotics
Adaptive Mesh Refinement (AMR) for Robotics
Apply the adaptive mesh refinement (amr) to real robotics problems — in the browser, with AI assistance.
AMR dynamically refines the mesh near steep gradients and shocks, delivering accuracy where it matters without global cost.
In robotics, teams face challenges like contact dynamics, control stability, real-time performance. The adaptive mesh refinement (amr) 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
Upgrade your workspace
Math / Dynamical Systems Kit — $19
ODEs, PDEs, chaos, and dynamical-systems exploration.
Recommended products
Rush Compute
$8Run a job at 2× priority for faster turnaround.
Simulation Cost Estimate Report
$2Estimate the compute tokens and time a run will take.
Hobbyist
$9/moFor makers and enthusiasts exploring simulation.
Annual Reproducibility Audit
$49/yrAn annual audit certifying your key projects are reproducible.
Single Private Project Slot
$2Add one extra private cloud project beyond your plan limit.
Convergence Auto-Tuner
$8Automatically tune solver settings until your run converges.