Users are impressed with LingBot-VA 2.0's 93.6 success rate on RoboTwin 2.0 because it showcases a video-action foundation model built natively for robot control.
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Very impressed with this video-action foundation model built natively for robot control, from @robbyant_brain, an embodied AI company under Ant Group. Project page. http://technology.robbyant.com/lingbot-va-v2 Paper: https://github.com/Robbyant/lingbot-va/blob/main/LingBot_VA2_paper.pdf
The results: 93.6 average on RoboTwin 2.0, ahead of π0.5 and the prior VA model, with only a 0.6-point gap between clean and randomized. It adapts from 10-15 demonstrations and transfers across embodiments. https://x.com/omarsar0/status/2075955198451736908/photo/1
Users are impressed with LingBot-VA 2.0's 93.6 success rate on RoboTwin 2.0 because it showcases a video-action foundation model built natively for robot control.
Based on 1 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.