Introducing Flex-π: A 6B World-Action Model Bridging VLAs and WAMs
LuizaJarovsky · x · 2026-08-13
Researchers introduced Flex-π, a 6B-parameter multi-stream World-Action Model (WAM). It jointly predicts future RGB, 3D pointmaps, and DINO semantics alongside actions during training. At deployment, it can flexibly run as a VLA, a full WAM, or anything in between from a single checkpoint.
Experiments show that Flex-π outperforms the strongest baselines by 2–7× on dexterous, precise, real-world bimanual tasks while running faster than π0.5, demonstrating strong in- and out-of-distribution generalization.
Related event: Flex-π: 6B Parameter Robotic Model Released(2 posts)→
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