Measure how accurately machine world models represent objects, geometry, relationships, motion, state, constraints, and environmental change.

Validate whether a digital twin remains synchronized with its physical counterpart across configuration, telemetry, location, health, and lifecycle state.

Compare synthetic environments against real-world outcomes to identify physics mismatch, sensor error, behavior gaps, and sim-to-real drift.

Test whether fused sensor and vision systems reconstruct the environment with sufficient precision for downstream autonomous decisions.