PHASOR: Phase-Anchored Universal Action Representations for Humanoid Embodiments

Kihyun Kim, Chaeyun Kim, Jongho Shin +4

Learning a good action embedding space is fundamental to scalable robot policy learning, yet existing methods treat action latents as task-specific intermediates rather than first-…