LDA-1B: unified robot world model trained on 30k hours

LDA-1B is a unified robot foundation model trained on 30,000 hours of human and robot data, learning forward dynamics and action prediction in a structured DINO latent space. Researchers highlight that capturing spatial structure, rather than pixels, marks a promising direction.

2026-08-24 ~ 2026-08-24 · 4 related posts

• LDA-1B: Unified World Model Trained on 30k Hours of Robot Data — chris_j_paxton · 2026-08-24
• Robotics research uses structured DINO latent space to capture structure — chris_j_paxton · 2026-08-24
• Robotics research uses structured DINO latent space for spatial structure — chris_j_paxton · 2026-08-24

1 near-duplicate retellings: chris_j_paxton