RoboMME Model

RoboMME is a research benchmark and associated model for evaluating vision-language-action (VLA) models on memory-augmented robotic manipulation tasks. It tests how well robot AI systems remember object state, spatial layout, and task history across long-horizon manipulation sequences. Source: supabase.