VR-DAgger: Immersive VR for Dexterous Data Collection and Uncertainty-Guided On-Policy Correction

Learning from demonstrations is effective for robotic manipulation, but collecting sufficient task-specific data remains a major bottleneck. Under distribution shift, small errors compound, performance degrades, and expert time is often spent on redundant, low-value corrections instead of the few critical failure cases. --- Source: arXiv:2605.27114v1 - http://arxiv.org/abs/2605.27114v1 PDF: https://arxiv.org/pdf/2605.27114v1 Original Link: http://arxiv.org/abs/2605.27114v1