LIBERO-MAX: Do Robot Policies Adapt When the World Changes?
cs.RO, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Project page: https://liberomax.github.io/Geometry
Terminology
Sources
- Cosmos World Foundation Model Platform for Physical AI
- CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Motus: A Unified Latent Action World Model
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- RT-1: Robotics Transformer for Real-World Control at Scale
- Genie: Generative Interactive Environments
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
- WorldVLA: Towards Autoregressive Action World Model
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
- LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models
- When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception
- MolmoAct2: Action Reasoning Models for Real-world Deployment
- Towards Generalizable Robotic Manipulation in Dynamic Environments
- From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Deep Visual Foresight for Planning Robot Motion
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