Embodied Model Leads on RoboTwin 2.0
omarsar0 · x · 2026-07-11
A post shares a set of embodied learning results: an average score of 93.6 on RoboTwin 2.0, leading π0.5 and previous VA models, with only a 0.6-point difference between clean and randomized scenarios. The model can also adapt using just 10–15 demonstrations and transfer across different embodiments.
Related event: LingBot-VA/VLA 2.0 Released: Native Embodied Foundation Model(24 posts)→
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