MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence
cs.RO, cs.CV
Submitted: 2026-09-22
Updated: 2026-09-22
Code: https://github.com/MachEmbodied/ME-U0
Project page: https://machembodied.com/ME-U/ME-U0.html
Terminology
Sources
- Qwen2.5-VL Technical Report
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- Octo: An Open-Source Generalist Robot Policy
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
- World Action Models are Zero-shot Policies
- LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- Emerging Properties in Unified Multimodal Pretraining
- Lance: Unified Multimodal Modeling by Multi-Task Synergy
- UAM: A Dual-Stream Perspective on Forgetting in VLA Training
- Motubrain: An Advanced World Action Model for Robot Control
- Cosmos 3: Omnimodal World Models for Physical AI
- RT-1: Robotics Transformer for Real-World Control at Scale
- BagelVLA: Enhancing Long-Horizon Manipulation via Interleaved Vision-Language-Action Generation
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence
- RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
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- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
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