RoboMME
Benchmarking memory-augmented robotic generalist policies
- Paper • 2603.04639 • Published • 28
Yinpei/robomme_data_h5
Updated • 123Note Data: RoboMME raw h5 training data
Yinpei/robomme_preprocessed_data_sample
Updated • 24Note Data: A subset of reprocessed training data for quick training
Yinpei/robomme_preprocessed_data
Viewer • Updated • 148k • 12.9kNote Data: Preprocessed training data for MME-VLA suite and VLM subgoal predictors
Yinpei/robomme_data_lerobot
Viewer • Updated • 769k • 3.8k • 1Note Data: Lerobot format RoboMME training data
Yinpei/robomme_data_tfds
Updated • 341Note Data: TensorFlow Dataset format for MemoryVLA/OpenVLA training
Yinpei/perceptual-framesamp-modul
UpdatedNote A single fine-tuned MME-VLA checkpoint for quick start and example for RoboMME Challenge Submission
Yinpei/vlm_subgoal_predictor
UpdatedNote Model: fine-tuned Qwen3-VL-4B lora adpators
Yinpei/memoryvla_ckpt
Updated • 33Note Model: Fine-tuned MemoryVLA ckpt on RoboMME
Yinpei/mme_vla_suite
Updated • 1Note Model: MME-VLA fine-tuned checkpoints
Yinpei/pi05_vision_encoder
UpdatedNote Model: Pre-trained vision encoder from pi05_base
Yinpei/pi05_baseline
UpdatedNote Model: pi05 fine-tuned on robomme
Yinpei/DP-Unet-ckpt
UpdatedNote Model: Finetuned DP Unet ckpt on RoboMME
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RoboMME Oracle Planner
🚀3Explore memory‑based robot tasks with interactive video demos