LIBERO
Emerging28papers using it
2025first seen
LIBERO is a simulation benchmark used to evaluate Vision-Language-Action (VLA) models by assessing their performance in transferring semantic knowledge to physical robotic control.
Papers using LIBERO (28)
- SimpleVLA-RL: Scaling VLA Training via Reinforcement LearningStarvla-\(\alpha\): Reducing Complexity In Vision-language-action SystemsDrop-Then-Recovery: How Redundant Are Vision-Language-Action Models?Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action PoliciesCLAP: Direct VLM-to-VLA Adaptation via Language-Action GroundingVLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent AlignmentWorldBagel: Uncovering the Power of Unified Multimodal Models for Vision-Language-Action-World ModelingTeaching Tiny VLA Models Where to Look and How to MoveTS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective BridgingGEAR-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 SpaceMIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action AgentsActQuant: Sub-4-bit Action-Guided Quantization 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 ManipulationDyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual OptimizationHELM: Harness-enhanced Long-horizon Memory For Vision-language-action ManipulationRestoring Linguistic Grounding in VLA Models via Train-Free Attention RecalibrationVLA-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 ExpansionDemonstration-Free Robotic Control via LLM AgentsContinually Evolving Skill Knowledge In Vision Language Action ModelMetaVLA: 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 Policies