AEGIS adds early-warning reflex to switch robot policies before failure
AEGIS uses a lightweight probe on a weak robot policy’s activations to detect high‑risk steps and switches to a stronger policy only when needed. This selective escalation recovers about 10% of trajectories the weak policy loses, while the strong policy runs on just 38% of steps.