LingBot-VLA 2.0 is a Vision-Language-Action foundation model that improves real-world robot generalization through 60,000 hours of pre-training data, a unified 55-dimensional action space, MoE action experts, and dual-query distillation.
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Apache-2.0
2026-07-25
It bridges large-scale pre-training to practical robot deployment, significantly outperforms prior models (e.g., π0, GR00T N1.7) on both bimanual and mobile manipulation benchmarks, and releases open-source weights and training code.
From Foundation to Application
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