Real-World RL Environment for Faster Policy Iteration

A robotics team moved from simulation-heavy testing to persistent real-world environments and improved benchmark reliability.

Challenge

Simulation passes but real-world regressions

The team saw repeated policy regressions when moving from simulation to hardware due to contact variation and reset drift.

SVRC solution
  • Persistent environment cellRepeatable reset logic and stable sensor synchronization.
  • Failure replay dashboardFast triage of regression clusters and scenario-level tracking.
  • Policy gate checksBenchmark gating before every promotion.
Results in 10 weeks
  • Benchmark pass rate: 58% -> 84%
  • Regression incidents per release: down 47%
  • Release confidence score: up 31%

Build your environment plan

Choose pilot, persistent, or partnership mode based on target task and iteration cadence.