William E. Schafer

TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models

Predicting the near-term behavior of a reactive agent is crucial in many robotic scenarios, yet remains challenging when observations of that agent are sparse or intermittent. Vision-Language Models (VLMs) offer a promising avenue by integrating textual domain knowledge with visual cues, but their o