Real-time safety monitoring for physical tasks requires understanding intent—the same action is safe or dangerous depending on context, which VLESA solves with a goal-conditioned safety filter that works without retraining for new scenarios.
VLESA is a safety system that watches egocentric video to detect dangerous human actions and intervene in real-time. It understands that the same action can be safe or unsafe depending on what the person is trying to do, using a goal-aware safety filter trained with reinforcement learning to make context-aware safety decisions without retraining.