LIBERO-Long
Emerging8papers using it
2025first seen
LIBERO-LONG is a benchmark dataset used to evaluate robotic manipulation tasks by assessing the performance of models in predicting grounded latent foresights and action generation.
Papers using LIBERO-Long (7)
- CLaD: Planning with Grounded Foresight via Cross-Modal Latent DynamicsMVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint ReconstructionLiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric PoliciesPALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic ManipulationHiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action ModelsEva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical VariationsLaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation