SOURCE-LINKED INTELLIGENCE
LYRIC: Language-Driven Physics-Based Character Control for Contact-Rich Whole-Body Object Interaction
We present LYRIC, a generative flow-matching controller for language-driven physics-based contact-rich interaction control, that enables simulated characters to perform contact-rich whole-body object interactions from a free-form language instruction and a sparse terminal object goal. To obtain reliable expert trajectories from imperfect motion-capture references, a single tracking policy is trained using geometry-conditioned interaction rewards and relaxed reference tracking near hand-object contact. To guide interaction progress without prescribing a full-body kinematic reference, we factori
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T04:34:15.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.