刚刚，销量第一的机器狗，长出了人形！
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TL;DR - Vbot unveiled its 1.6-meter ATOM humanoid robot and an “Embodied Genome” architecture intended to transfer high-level intelligence learned by its consumer robot dogs across different robot bodies. The strategy matters because it uses large-scale, real-world product telemetry to train and refine interaction, navigation, world-modeling, and control systems for household robots.
- The architecture combines OmniDuplex for full-duplex multimodal interaction, a WorldModel for action-conditioned future prediction, and EvoMorph for adapting shared action intentions to quadruped, wheeled, and humanoid hardware.
- Vbot says its world model was trained with more than 770,000 real navigation clips covering 3,000 hours of video and 5,000 kilometers of trajectories, using SFT followed by preference optimization.
- Its Real-Sim-Real pipeline reconstructs measured environments and physical parameters from robot logs, then trains policies in simulations calibrated against real-world behavior.
- ATOM has 31 degrees of freedom and is planned for year-end delivery in personal, enterprise, and developer editions; Vbot also launched a wheeled-leg EDU-W robot dog.
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刚刚，销量第一的机器狗，长出了人形！
TL;DR - Vbot unveiled its 1.6-meter ATOM humanoid robot and an “Embodied Genome” architecture intended to transfer high-level intelligence learned by its consumer robot dogs across different robot bodies. The strategy matters because it uses large-scale, real-world product telemetry to train and refine interaction, navigation, world-modeling, and control systems for household robots.
- The architecture combines OmniDuplex for full-duplex multimodal interaction, a WorldModel for action-conditioned future prediction, and EvoMorph for adapting shared action intentions to quadruped, wheeled, and humanoid hardware.
- Vbot says its world model was trained with more than 770,000 real navigation clips covering 3,000 hours of video and 5,000 kilometers of trajectories, using SFT followed by preference optimization.
- Its Real-Sim-Real pipeline reconstructs measured environments and physical parameters from robot logs, then trains policies in simulations calibrated against real-world behavior.
- ATOM has 31 degrees of freedom and is planned for year-end delivery in personal, enterprise, and developer editions; Vbot also launched a wheeled-leg EDU-W robot dog.