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Flex-π: One Robot Policy, Three Futures, Fifty-Six Ways to Run It

Published 1 month, 3 weeks ago
Description
Jointly predicts future RGB frames, 3D pointmaps, DINO semantics, and actions within a unified world-action model. Can be deployed flexibly as a VLA, full world-action model, or hybrid from a single checkpoint. In this episode of Embodied AI 101, we explore "Flex-π: One Robot Policy, Three Futures, Fifty-Six Ways to Run It". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence. Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.
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