الباحثون

Changchuan Yang

المنشورات 2

نسخة أولية وصول مفتوح

PMTRM: Pseudo-Memory Temporal Re-encoding Module for Embodied Policy Learning

Changchuan Yang, Haoxuan Xu, Wenbo Chen وآخرون · 2026

Robotic manipulation often contains repeated motions whose local observations look similar at different phases. When these phases require different actions, a policy that relies mainly on the current observation may repeat completed motions or switch phases at the wrong time. To address this phase ambiguity, we present …

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SLIP-VLA: Single-Step Latent Imagination for Policy Learning in Vision-Language-Action Models

Tianfu Li, Haoxuan Xu, Wenbo Chen وآخرون · 2026

Vision-Language-Action models are increasingly effective for robotic manipulation, yet most predict actions directly from current observations without explicitly modeling future scene evolution. Recent methods introduce future prediction to improve action generation, but dense future modeling often requires expensive i …

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