ROBOGATE: Adaptive Failure Discovery for Safe Robot Policy Deployment via Two-Stage Boundary-Focused Sampling
Deploying learned robot manipulation policies in industrial settings requires rigorous pre-deployment validation, yet exhaustive testing across high-dimensional parameter spaces is intractable. We present ROBOGATE, a deployment risk management framework that combines physics-based simulation with a two-stage adaptive sampling strategy to efficiently discover failure boundaries in the operational parameter space.
Evidence notes
- Experiments use UR3e as the physical evaluation platform.
- The reported results provide an independent evaluation on UR3e hardware.
Company context
Universal Robots develops collaborative robot arms for flexible automation in industrial and commercial environments.