Zhiwei Xue

Robots can now leverage diffusion models for real-time control by extracting actionable uncertainty estimates in milliseconds, bypassing costly Monte Carlo simulations.

High-level robot planners routinely fail because they treat low-level skills as opaque black boxes; turning training-time inductive biases into explicit compositional interfaces bridges the gap to robust out-of-distribution execution.