LIBER
Emerging22papers using it
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LIBERO Datasets This is a repo that stores the LIBERO datasets. The structure of the dataset can be found below: libero_object/ libero_spatial/ libero_goal/ libero_90/ libero_10/ Demonstrations of each task is stored in a hdf5 file. Please refer to download script from the official LIBERO repo for more details.
π€ Hugging Faceβ apache-2.0
Papers using LIBER (22)
- SimpleVLA-RL: Scaling VLA Training via Reinforcement LearningVLANeXt: Recipes for Building Strong VLA ModelsStarvla-\(\alpha\): Reducing Complexity In Vision-language-action SystemsGEAR-VLA: Learning Geometry-Aware Action Representations for Generalizable Robotic ManipulationAgentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models{\Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step ScalingPearlVLA: Progressive Embodied Action-Plan Refinement in Latent SpaceActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action ModelsCapability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action ModelsGlobal Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic ManipulationKey-Gram: Extensible World Knowledge for Embodied ManipulationHELM: Harness-enhanced Long-horizon Memory For Vision-language-action ManipulationDrop-Then-Recovery: How Redundant Are Vision-Language-Action Models?S$^2$-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon ManipulationDyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual OptimizationVLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image ReasoningFUTURE-VLA: Forecasting Unified Trajectories Under Real-time ExecutionCLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and ExpansionMetaVLA: Unified Meta Co-training For Efficient Embodied AdaptionSpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative PruningDiscrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action PoliciesContinually Evolving Skill Knowledge In Vision Language Action Model