LIBERO-Spatial
Emerging3papers using it
2026first seen
The 'LIBERO-Spatial' dataset/benchmark is used to evaluate Vision-Language-Action models by providing a structured environment that incorporates physical principles and spatial reasoning for robotic manipulation tasks.
Papers using LIBERO-Spatial (3)
- PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic ManipulationAcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action ModelsROBOGATE: Adaptive Failure Discovery for Safe Robot Policy Deployment via Two-Stage Boundary-Focused Sampling