mlsanityData to 14 Oct 2026

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

arXiv 2503.06669 ↗First posted 9 Mar 2025cs.RO cs.CV cs.LGcited by 405

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Cited by 182 in Vision-language-action models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We explore how scalable robot data can address real-world challenges for generalized robotic manipulation. Introducing AgiBot World, a large-scale platform comprising over 1 million trajectories across 217 tasks in five deployment scenarios, we achieve an order-of-magnitude increase in data scale compared to existing datasets. Accelerated by a standardized collection pipeline with human-in-the-loop verification, AgiBot World guarantees high-quality and diverse data distribution. It is extensible from grippers to dexterous hands and visuo-tactile sensors for fine-grained skill acquisition. Building on top of data, we introduce Genie Operator-1 (GO-1), a novel generalist policy that leverages latent action representations to maximize data utilization, demonstrating predictable performance scaling with increased data volume. Policies pre-trained on our dataset achieve an average performance improvement of 30% over those trained on Open X-Embodiment, both in in-domain and out-of-distribution scenarios. GO-1 exhibits exceptional capability in real-world dexterous and long-horizon tasks, achieving over 60% success rate on complex tasks and outperforming prior RDT approach by 32%. By open-sourcing the dataset, tools, and models, we aim to democratize access to large-scale, high-quality robot data, advancing the pursuit of scalable and general-purpose intelligence.

Key facts. Cited by 405 papers in the map (data through 14 Oct 2026). Builds on 31 of its 35 references that are in the map. First posted on arXiv 9 Mar 2025.

Builds on

31 of 35 references.

References · 31

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2017Neural Discrete Representation Learningcited by 4,712
  3. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,276
  4. 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 3,080
  5. 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,887
  6. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  7. 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,838
  8. 2022RT-1: Robotics Transformer for Real-World Control at Scalecited by 2,061
  9. 2024Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scalingcited by 1,599
  10. 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,568
  11. 2024Octo: An Open-Source Generalist Robot Policycited by 1,484
  12. 2024DROID: A Large-Scale In-The-Wild Robot Manipulation Datasetcited by 852
19 more
  1. 2024Genie: Generative Interactive Environmentscited by 747
  2. 2024RDT-1B: a Diffusion Foundation Model for Bimanual Manipulationcited by 691
  3. 2023BridgeData V2: A Dataset for Robot Learning at Scalecited by 657
  4. 2022BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learningcited by 523
  5. 2023Learning Universal Policies via Text-Guided Video Generationcited by 522
  6. 2024Latent Action Pretraining from Videoscited by 321
  7. 2019RoboNet: Large-Scale Multi-Robot Learningcited by 270
  8. 2023Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Modelscited by 269
  9. 2021Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasetscited by 250
  10. 2018RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitationcited by 204
  11. 2023RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shotcited by 183
  12. 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecastingcited by 180
  13. 2024RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulationcited by 175
  14. 2023RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunkingcited by 169
  15. 2024Data Scaling Laws in Imitation Learning for Robotic Manipulationcited by 145
  16. 2024THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulationcited by 133
  17. 2024GRAPE: Generalizing Robot Policy via Preference Alignmentcited by 109
  18. 2024Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulationcited by 73
  19. 2024Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulationcited by 53

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 163; 2026: 242.

405 papers.

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  1. 2025π0.5: a Vision-Language-Action Model with Open-World Generalizationcited by 1,761
  2. 2025GR00T N1: An Open Foundation Model for Generalist Humanoid Robotscited by 1,225
  3. 2025RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulationcited by 518
  4. 2025UniVLA: Learning to Act Anywhere with Task-centric Latent Actionscited by 410
  5. 2026Fast-WAM: Do World Action Models Need Test-time Future Imagination?cited by 349
  6. 2026Causal World Modeling for Robot Controlcited by 321
  7. 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Modelcited by 303
  8. 2025Motus: A Unified Latent Action World Modelcited by 251
  9. 2025DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledgecited by 213
  10. 2025World Simulation with Video Foundation Models for Physical AIcited by 200
  11. 2025MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulationcited by 192
  12. 2025MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligencecited by 183
38 more
  1. 2025HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Modelcited by 181
  2. 2025DreamGen: Unlocking Generalization in Robot Learning through Video World Modelscited by 179
  3. 2025SimpleVLA-RL: Scaling VLA Training via Reinforcement Learningcited by 151
  4. 2025Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Bettercited by 146
  5. 2026π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilitiescited by 138
  6. 2025Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulationcited by 137
  7. 2026DreamDojo: A Generalist Robot World Model from Large-Scale Human Videoscited by 135
  8. 2025Emu3.5: Native Multimodal Models are World Learnerscited by 132
  9. 2025GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Datacited by 123
  10. 2026VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Modelcited by 118
  11. 2025FLARE: Robot Learning with Implicit World Modelingcited by 113
  12. 2025GR-3 Technical Reportcited by 111
  13. 2025PointVLA: Injecting the 3D World into Vision-Language-Action Modelscited by 105
  14. 2025Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videoscited by 102
  15. 2025A Survey on Vision-Language-Action Models: An Action Tokenization Perspectivecited by 96
  16. 2025Galaxea Open-World Dataset and G0 Dual-System VLA Modelcited by 92
  17. 2025Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policiescited by 90
  18. 2025Vision-Language-Action Models for Robotics: A Review Towards Real-World Applicationscited by 84
  19. 2025InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policycited by 84
  20. 2025A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learningcited by 71
  21. 2026Unified 4D World Action Modeling from Video Priors with Asynchronous Denoisingcited by 71
  22. 2025Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videoscited by 70
  23. 2025Large Video Planner Enables Generalizable Robot Controlcited by 70
  24. 2025WoW: Towards a World omniscient World model Through Embodied Interactioncited by 67
  25. 2026Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalizationcited by 66
  26. 2025RoboArena: Distributed Real-World Evaluation of Generalist Robot Policiescited by 64
  27. 2025villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Modelscited by 63
  28. 2025Vidar: Embodied Video Diffusion Model for Generalist Manipulationcited by 62
  29. 2025OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modelingcited by 62
  30. 2025GigaWorld-0: World Models as Data Engine to Empower Embodied AIcited by 62
  31. 2026LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policiescited by 52
  32. 2025InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policycited by 50
  33. 2026InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulationcited by 50
  34. 2026World Action Models: The Next Frontier in Embodied AIcited by 50
  35. 2026Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Modelscited by 50
  36. 2025TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimizationcited by 49
  37. 2025Pure Vision Language Action (VLA) Models: A Comprehensive Surveycited by 49
  38. 2026World Model for Robot Learning: A Comprehensive Surveycited by 46

50 most cited of 405 All 405 (JSON)

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  1. 2025RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence
  2. 2026RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills ↗
  3. 2026AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation
  4. 2026RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
  5. 2026Motus2: A Self-Evolving General World Model for Dexterous Manipulation
  6. 2026JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy
  7. 2026ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning
  8. 2026RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization