RISE: Self-Improving Robot Policy with Compositional World Model

from Embodied AI 101 · host Shaoqing Tan

Trains a compositional world model on real robot data to enable closed-loop policy improvement via future prediction and progress evaluation, bypassing both risky real-world RL and traditional sim-to-real gaps.

Episode metadata supplied by the publisher feed · Published Jun 13, 2026

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RISE: Self-Improving Robot Policy with Compositional World Model

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