Galaxea Open-World Dataset and G0 Dual-System VLA Model
On the map: Vision-language-action models → Generalist VLA models and benchmarks
Abstract (arXiv)
We present Galaxea Open-World Dataset, a large-scale, diverse collection of robot behaviors recorded in authentic human living and working environments. All demonstrations are gathered using a consistent robotic embodiment, paired with precise subtask-level language annotations to facilitate both training and evaluation. Building on this dataset, we introduce G0, a dual-system framework that couples a Vision-Language Model (VLM) for multimodal planning with a Vision-Language-Action (VLA) model for fine-grained execution. G0 is trained using a three-stage curriculum: cross-embodiment pre-training, single-embodiment pre-training, and task-specific post-training. A comprehensive benchmark spanning tabletop manipulation, few-shot learning, and long-horizon mobile manipulation, demonstrates the effectiveness of our approach. In particular, we find that the single-embodiment pre-training stage, together with the Galaxea Open-World Dataset, plays a critical role in achieving strong performance.
Key facts. Cited by 90 papers in the map (data through 7 Oct 2026). Placed in Generalist VLA models and benchmarks, one of 13 directions in Vision-language-action models. Builds on 27 of its 31 references that are in the map. First posted on arXiv 30 Aug 2025.
Builds on
27 of 31 references.
Closest ancestors · 7
Same direction, newest first
- 2025VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models21 Jun
- 2025π0.5: a Vision-Language-Action Model with Open-World Generalization22 Apr
- 2024CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation29 Nov
- 2024π0: A Vision-Language-Action Flow Model for General Robot Control31 Oct
- 2024TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation19 Sep
- 2024OpenVLA: An Open-Source Vision-Language-Action Model13 Jun
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control28 Jul
Other references · 20
- 2025Qwen2.5-VL Technical Reportcited by 5,418
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
- 2023Open X-Embodiment: Robotic Learning Datasets and RT-X Modelscited by 849
- 2024DROID: A Large-Scale In-The-Wild Robot Manipulation Datasetcited by 801
- 2023CogVLM: Visual Expert for Pretrained Language Modelscited by 704
- 2024PaliGemma: A versatile 3B VLM for transfercited by 679
- 2024RDT-1B: a Diffusion Foundation Model for Bimanual Manipulationcited by 670
- 2025FAST: Efficient Action Tokenization for Vision-Language-Action Modelscited by 643
- 2023BridgeData V2: A Dataset for Robot Learning at Scalecited by 634
- 2025AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systemscited by 390
- 2020Integrated Task and Motion Planningcited by 281
- 2021Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasetscited by 248
8 more
- 2025Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Modelscited by 216
- 2021VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioningcited by 190
- 2025HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Modelcited by 176
- 2024VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Taskscited by 171
- 2024RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulationcited by 166
- 2024LMFusion: Adapting Pretrained Language Models for Multimodal Generationcited by 120
- 2024From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessonscited by 42
- 2025Is Diversity All You Need for Scalable Robotic Manipulation?cited by 19
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Citing papers per year: 2025: 13; 2026: 77.
90 papers.
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- 2026Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask Manipulation10 Aug 2026
- 2026JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment6 Aug 2026
- 2026Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories16 Jul 2026
- 2026From Foundation to Application: Improving VLA Models in Practice7 Jul 2026
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- 2025Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy12 Dec 2025
- 2025VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model11 Sep 2025
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- 2026Data Pyramid for Embodied Manipulation: A Survey27 Jul 2026
- 2026RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies5 Jul 2026
- 2026HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining18 Jun 2026
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