CSF enables safety filtering for motion generators by grounding natural-language safety rules in reference trajectories, reducing unsafe motions by up to 90% without requiring labeled data or model retraining.
This paper presents Contextual Safety Filtering (CSF), a method that makes motion-generating AI systems safer by understanding scene context. Instead of just checking text prompts, CSF learns what makes a motion safe or unsafe by comparing reference trajectories, then uses control techniques to prevent dangerous movements.