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Realman provides real-world data for Ant Lingbo's open-source embodied model LingBot-VLA

Ant Lingbo has released and open-sourced LingBot-VLA, an embodied intelligence foundation model. Its pretraining used about 20,000 hours of real-world data covering 9 dual-arm robot configurations, and it outperformed Pi0.5 overall in real-robot evaluations across more than 100 tasks. Realman's wholly owned subsidiary Ruiyuan Robotics provides high-precision multimodal real-world data for the RS-01 and RS-02 robots. The technical report shows that model success rates continued to improve without saturating as pretraining data expanded from 3,000 hours to 20,000 hours.

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