mlsanityData to 7 Oct 2026

RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

arXiv 2511.17441 ↗First posted 21 Nov 2025cs.ROcited by 72

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Cited by 27 in World models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Despite the critical role of bimanual manipulation in endowing robots with human-like dexterity, large-scale and diverse datasets remain scarce due to the significant hardware heterogeneity across bimanual robotic platforms. To bridge this gap, we introduce RoboCOIN, a large-scale multi-embodiment bimanual manipulation dataset comprising over 180,000 demonstrations collected from 15 distinct robotic platforms. Spanning 16 diverse environments-including residential, commercial, and industrial settings-the dataset features 421 bimanual tasks systematically categorized by 39 bimanual collaboration actions and 432 objects. A key innovation of our work is the hierarchical capability pyramid, which provides granular annotations ranging from trajectory-level concepts to segment-level subtasks and frame-level kinematics. Furthermore, we present CoRobot, an efficient data processing pipeline powered by the Robot Trajectory Markup Language (RTML), designed to facilitate quality assessment, automated annotation, and unified multi-embodiment and data management. Extensive experiments demonstrate the effectiveness of RoboCOIN in enhancing the performance of various bimanual manipulation models across a wide spectrum of robotic embodiments. The entire dataset and codebase are fully open-sourced, providing a valuable resource for advancing research in bimanual and multi-embodiment manipulation.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Nov 2025.

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Citing papers per year: 2026: 72.

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  1. 2026Causal World Modeling for Robot Controlcited by 289
  2. 2026ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learningcited by 94
  3. 2026Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalizationcited by 61
  4. 2026Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Modelscited by 47
  5. 2026LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policiescited by 46
  6. 2026Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodimentscited by 42
  7. 2026AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routingcited by 41
  8. 2026Rethinking Video Generation Model for the Embodied Worldcited by 30
  9. 2026Native Video-Action Pretraining for Generalizable Robot Controlcited by 30
  10. 2026ABot-M0.5: Unified Mobility-and-Manipulation World Action Modelcited by 28
  11. 2026ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignmentcited by 23
  12. 2026HY-Embodied-0.5: Embodied Foundation Models for Real-World Agentscited by 18
38 more
  1. 2026Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generationcited by 12
  2. 2026Wall-OSS-0.5 Technical Reportcited by 11
  3. 2026HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulationcited by 10
  4. 2026LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignmentcited by 10
  5. 2026RepWAM: World Action Modeling with Representation Visual-Action Tokenizerscited by 9
  6. 2026A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Modelcited by 8
  7. 2026MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-Manipulationcited by 8
  8. 2026LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Modelscited by 8
  9. 2026Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalizationcited by 8
  10. 2026Rethinking Visual-Language-Action Model Scaling: Alignment, Mixture, and Regularizationcited by 7
  11. 2026RotVLA: Rotational Latent Action for Vision-Language-Action Modelcited by 7
  12. 2026GEM: Generative Supervision Helps Embodied Intelligencecited by 6
  13. 2026X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretrainingcited by 6
  14. 2026The Great March 100: 100 Detail-oriented Tasks for Evaluating Embodied AI Agentscited by 5
  15. 2026RynnValue: Scaling Robotic Value Foundation Models with Temporal Distancecited by 5
  16. 2026Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Modelscited by 5
  17. 2026WorldOlympiad: Can Your World Model Survive a Triathlon?cited by 4
  18. 2026PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulationcited by 4
  19. 2026MV-WAM: Manifold-Aware World Action Model with Value Augmentationcited by 4
  20. 2026WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory and In-Context Learningcited by 4
  21. 2026Data Pyramid for Embodied Manipulation: A Surveycited by 4
  22. 2026DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adaptercited by 3
  23. 2026Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Modelcited by 3
  24. 2026Keep the Future, Drop the Rollout: RIFT for World Action Modelscited by 3
  25. 2026DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulationcited by 3
  26. 2026HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodimentscited by 2
  27. 2026VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Trainingcited by 2
  28. 2026VLALeaks: Membership Inference Attacks against Vision-Language-Action Modelscited by 2
  29. 2026VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignmentcited by 2
  30. 2026JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignmentcited by 2
  31. 2026What Matters for Latent Actions in Robot Learningcited by 2
  32. 2026ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-trainingcited by 2
  33. 2026RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generationcited by 1
  34. 2026CUBic: Coordinated Unified Bimanual Perception and Control Frameworkcited by 1
  35. 2026Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robotscited by 1
  36. 2026RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imaginationcited by 1
  37. 2026MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligencecited by 1
  38. 2026Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulationcited by 0

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