Jialin Zhang

Robots can learn from fleet-wide failures and successes to autonomously improve their policies, achieving near-perfect reliability without any new human corrections.

By decoupling texture and structure learning in the spectral domain, SpectralMamba-UNet achieves state-of-the-art medical image segmentation, outperforming standard Vision Mamba approaches.