Bounded-Fidelity Sim-as-Demo-Stage: Mocap Handoff for Governance Benchmarks
The research addresses noise in simulation data during object handoffs, which corrupts audit trails used for governing AI robots. The solution is a 'bounded-fidelity sim-as-demo-stage' pattern that intentionally simplifies physics during the handoff phase while maintaining full realism elsewhere. This allows governance evaluators to achieve perfectly reproducible audit chains with minimal engineering effort, proving behavior without needing perfect contact physics.