TRACE: Typed Reference-Aware Conversational Editing for Humanoid Motion Diffusion
TRACE is a framework for generating and editing humanoid robot motions using natural language by grounding generation in measurable kinematic quantities. It connects vague requests to concrete movements by learning event predictions from motion data, ensuring physical consistency through gravity-referenced states, and enabling reference-aware editing via typed goals.