RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
Paper
• 2603.04639 • Published
• 16
Benchmarking memory-augmented robotic generalist policies
Note Data: RoboMME raw h5 training data
Note Data: Preprocessed training data for MME-VLA suite and VLM subgoal predictors
Note Data: Tensordataset format for MemoryVLA/OpenVLA training
Note Data: Lerobot format RoboMME training data
Note Model: Pre-trained vision encoder from pi05_base
Note Model: MME-VLA fine-tuned checkpoints
Note Model: fine-tuned Qwen3-VL-4B lora adpators
Note Model: pi05 fine-tuned on robomme
Note Model: Finetuned MemoryVLA ckpt on RoboMME
Note Model: Finetuned DP Unet ckpt on RoboMME
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