Embodied Astra tops RoboMME at 92.1% — beating humans by just keeping full visual history in context
hankyang94 · x · 2026-10-17
The team reports reaching #1 on RoboMME, a large-scale benchmark for memory-dependent robotic manipulation (16 tasks, 800 test episodes, 28 models), with Embodied Astra at 92.1% success — above the 90.5% human baseline and every listed method.
The recipe is surprisingly simple: no RoboMME-specific training, just keep the full sampled visual history in context and let Astra generate every waypoint and gripper command. This suggests robotic memory may reduce to context itself with strong enough models.
Related event: GPT-6-Astra as Robot Policy Tops RoboMME, Beating Human Baseline(2 posts)→
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