AI RESEARCH
SABER: A Scalable Action-Based Embodied Dataset for Real-World VLA Adaptation
arXiv CS.CV
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ArXi:2605.09613v1 Announce Type: cross Robotic deployment in real-world environments depends on rich, domain-specific action data as much as on strong model architecture. General-purpose robot foundation models show modest performance in complex unseen tasks such as manipulation in a retail domain when applied out of the box. The root cause is a data gap: retail environments are structurally absent from general robot pre