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MIKASA-Robo-VLA: Benchmarking Memory in VLA Models for Long-Horizon Manipulation
Vision-language-action policies often see only one or a few recent frames, which makes it difficult to evaluate how they use information that disappears during a task. We introduce MIKASA-Robo-VLA, a benchmark of 90 language-conditioned manipulation tasks. All but 10 hide the cue an action depends o
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