الباحثون

Le Chen

المنشورات 2

نسخة أولية وصول مفتوح

WAMJET: A Harness for World Action Model Acceleration

Le Chen, Lixin Liu, Jan Schneider وآخرون · 2026

World Action Models (WAMs) leverage pretrained video foundation models for robot manipulation, but their large backbones and video-action co-prediction are expensive. Although existing acceleration techniques offer many ways to reduce this cost, selecting and composing them requires substantial engineering for each mod …

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rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference

Kaijun Zhou, Zhiyang Li, Le Chen وآخرون · 2026

Factory work is a promising early scenario for embodied AI: assigning repetitive manual jobs to robots has clear economic payoff, and a structured station keeps the jobs tractable for current policies. Vision-Language-Action (VLA) models now dominate as the policy paradigm for these robots. The inference latency of VLA …

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