We believe human video is the most important path for robots to understand and interact with the physical world. Today we are introducing Being-H0.7, BeingBeyond’s third-generation flagship model. Being-H0.7 advances a new paradigm for world models built on latent-space reasoning, and scales pretraining to 200,000 hours of egocentric video. Check more about our work👇
Blog: https://t.co/2jXlYKWQUW
Paper: https://t.co/gWYA9nTR5d
Introducing BeingBeyond U1, the world’s first Real DexUMI.
U1 brings embodiment-agnostic dexterous hand data collection to real-world manipulation, taking a major step toward general-purpose dexterous manipulation models.
From data collection to transfer, deployment, and execution, U1 pushes UMI beyond the gripper era and into the age of dexterous hands.
Big month at BeingBeyond 🎉 We’re excited to share that in the past month we’ve had 8 papers accepted across top conferences and journals: CVPR’26 ×5, ICLR’26 ×1, ICRA’26 ×1, RAL ×1. Check our papers below👇
[CVPR'26] DemoFunGrasp: Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning
https://t.co/DWtN5H8bnU
https://t.co/dSWcBq9Y2N
[CVPR'26] End-to-End Language-Action Model for Humanoid Whole Body Control
https://t.co/PixLZ3cn2p
[CVPR'26] Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild
(To appear)
[CVPR'26] OpenT2M: No-frill Motion Generation with Open-source, Large-scale, High-quality Data
(To appear)
[CVPR'26] Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
https://t.co/jjbQO30PZi
https://t.co/M0IrByuUvf
[ICLR'26] DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
https://t.co/7WP3C6Z4eZ
https://t.co/fUJiXjWYOB
[ICRA'26] Towards Proprioception-Aware Embodied Planning for Dual-Arm Humanoid Robots
https://t.co/qHfuoB63i5
[RAL] DemoHLM: From One Demonstration to Generalizable Humanoid Loco-Manipulation
https://t.co/ORrDeI8T3Z
https://t.co/v6wCTcmRYn
We’ll keep focusing on VLA models, Dexterous Manipulation, and Whole-Body Control. BeingBeyond looks forward to seeing everyone at the venues!🥳
(thread 1/8) We're releasing Being-H0.5🔥🔥🔥: a foundation VLA model aimed at one big goal — cross-embodiment generalization. Instead of training a new brain for every robot, we want a single model to carry skills across bodies (arms, humanoids, dexterous hands). Here's an overview of Being-H0.5 👇
1/n
🤔Can we stop flow-based VLAs from collapsing into brittle shortcuts as we scale to harder robot tasks?
📑Introduce DiG-Flow: a lightweight module that rebalances control between the foundation model and action expert, leading to more robust VLAs.
https://t.co/L1pgSLQZKn
🚀 Excited to release the codebase and models for Being-H0, a dexterous VLA model pretrained on large-scale human videos via explicit hand motion modeling.
🌐 Explore Being-H0: https://t.co/des770khQm
💻 GitHub: https://t.co/czIYpIniDL
🤗 HuggingFace: https://t.co/uDO5m0tdwY