Search papers, labs, and topics across Lattice.
1
0
3
0
Uncertainty-Guided Refinement (UGR), a sparse refinement framework for chunk-based visuomotor policies, which first predicts a full action chunk, estimates per-step temporal uncertainty from the coarse hidden states, and applies residual correction only to the most uncertain timesteps selected by a binary mask.
