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Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement

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Vision-Language-Action (VLA) models have emerged as a promising approach for generalizable robotic manipulations. In particular, flow matching-based VLA models have shown remarkable success due to their capability to generate precise and smooth action sequences and capture multimodal distributions.

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arXiv Machine Learning
Jun 9

C$^3$ache: Accelerating World Action Models with Cross Inference Chunk Cache

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By Weisen Zhao, Lam Nguyen, Zhicong Lu, Yuzhang Shang
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NebulaVLA: A Dual-Frequency Vision-Language-Action Model With Guide Action for Robotic Manipulation

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