PKU and Collaborators Introduce LDA-1B, a 1B-Parameter Embodied Foundation Model
chris_j_paxton · x · 2026-08-13
Peking University, alongside Galbot, CASIA, and others, has introduced LDA-1B, a 1-billion-parameter embodied foundation model set to be presented at RSS 2026.
- Data Scale: Trained on EI-30k, a dataset comprising over 30,000 hours of heterogeneous human and robot interaction data.
- Architectural Innovation: Jointly denoises action chunks and future DINO sequences within a unified multi-modal diffusion transformer framework, integrating visual forecasting, dynamics learning, and policy learning.
- Dynamics Modeling: Operates forward and inverse dynamics in a structured DINO latent space, avoiding redundant pixel-space appearance modeling to focus on task-relevant dynamics features.
Related event: Peking University and Partners Unveil Embodied AI Model LDA-1B(2 posts)→
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