Safe Real-Time Policy Steering via Noise-Space Trajectory Optimization for One-Step Generative Policies

Generative robot policies can represent diverse, multimodal behaviors, but adapting pretrained policies to deployment-time constraints such as collision avoidance and orientation maintenance remains challenging. Existing inference-time steering methods typically apply gradient guidance through itera