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Achieving a 49% increase in success rate on out-of-distribution tasks, Faster-WAM redefines efficiency in future-aware robot manipulation models.
DreamWAM achieves up to 75.47% accuracy in unseen scenarios, showcasing that structured future state representations can dramatically enhance action model performance beyond traditional RGB methods.
TrustVLA can detect and recover from VLA backdoors with minimal clean data, all while preserving normal task performance.
