InternW0: A Foundational Physical World Model for Efficient Real-World Interactions
cs.RO, cs.AI
Submitted: 2026-09-23
Updated: 2026-09-23
Project page: https://internrobotics.github.io/internw0
Terminology
Sources
- Intern-S2-Preview: Scientific Agentic Foundation Model
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing
- Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
- ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
- InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
- A Definition and Roadmap for World Models
- Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
- World Models
- TD-MPC2: Scalable, Robust World Models for Continuous Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Galaxea Open-World Dataset and G0 Dual-System VLA Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- MolmoAct: Action Reasoning Models that can Reason in Space
- Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
- Causal World Modeling for Robot Control
- RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
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- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
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