Streaming Action Decoding for Fast and Asynchronous VLA Inference
A
LingBot-VLA
flow-matching vision-language-action policy finetuned on
RoboTwin 2.0
(50-task multitask)
and served with
FlashVLA
streaming action decoding for fast, asynchronous inference.
RoboTwin 2.0 50-task multitask results. Success rate is averaged across clean and randomized settings.
d=0
is synchronous execution;
d=1
launches inference one step before the current chunk ends.
Inference latency is independent of
d
and is therefore reported only at
d=0
.
RoboTwin 2.0 evaluation uses a server/client split across two environments. See
sim_eval/robotwin/
for setup and full options.
License
These weights are finetuned from
robbyant/lingbot-vla-4b-posttrain-robotwin
,
which does not currently declare a license. Until terms are settled with the base model authors, no license is
asserted for these weights and they should be treated as available for research and evaluation only. Please
contact us before any other use.
@inproceedings{li2026flashvla,
title = {{FlashVLA: Streaming Action Decoding for Fast and Asynchronous VLA Inference}},
author = {Li, Zekai and Tang, Jiaming and Liu, Zhijian},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2026}
}
Runs of z-lab flashvla-lingbot-robotwin on huggingface.co
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Total runs
0
24-hour runs
3
3-day runs
6
7-day runs
10
30-day runs
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