Seung Hyun Lee, Stella X. Yu (arXiv 2607.23384) · Robotics

PRISM

Polynomial Representations for Interaction-Structured Motor Control learns low-degree polynomial interactions among a robot's existing sensors to condition RL and imitation-learning policies, adding no new hardware. Nearly doubles humanoid locomotion survival (92.5 vs 51.0 baseline) and hits 91% manipulation success without force sensing.

Open the source ↗

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