AI RESEARCH

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation

arXiv CS.AI

ArXi:2510.17640v3 Announce Type: replace-cross Vision-Language-Action (VLA) models have nstrated remarkable performance on complex tasks through imitation learning in recent robotic manipulation works. Based on large-scale and high-quality nstration datasets, existing imitation learning method arms VLA models acquired with strong capabilities.