2 papers
cs.CV2026
LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching
Jiexi Lyu, Xizhou Bu, Qingqiu Huang +4
Learning high-quality latent actions from large-scale unlabeled videos, coupled with limited real-world interaction data for training an action decoder, has emerged as a promising…
cs.RO2026
LAOF: Robust Latent Action Learning with Optical Flow Constraints
Xizhou Bu, Jiexi Lyu, Fulei Sun +3
Learning latent actions from large-scale videos is crucial for the pre-training of scalable embodied foundation models, yet existing methods often struggle with action-irrelevant d…