Preprint Open access
Uncertainty-Guided Sparse Refinement for Action Chunking Transformer Policies
Learning chunk-based visuomotor policies for long-horizon robot manipulation remains challenging. Recent action-chunking methods have shown promising performance by predicting temporally extended action sequences. However, their failures are often dominated by prediction errors at a small number of critical timesteps r …