One from Infinity: Actualizing Futures from Pretrained World Models into Robot Actions
cs.RO
Submitted: 2026-09-29
Updated: 2026-10-03
Terminology
Sources
- Cosmos World Foundation Model Platform for Physical AI
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Revisiting Feature Prediction for Learning Visual Representations from Video
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- WorldVLA: Towards Autoregressive Action World Model
- GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- DC-WAM: Dynamic-Centric Visual Supervision and Reasoning for World-Action Models
- OpenVLA: An Open-Source Vision-Language-Action Model
- Causal World Modeling for Robot Control
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
- JEPA-WAM: Learning Vision-Language-Action Policies with Joint-Embedding World Modeling
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
- R3M: A Universal Visual Representation for Robot Manipulation
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