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Title: Agibot Released the Industry First Open-Source Robot World Model Platform - Genie Envisioner

Shanghai, China, 17th Oct 2025 — Recently, Agibot has officially launched Genie Envisioner (GE), a unified world model platform for real-world robot control. Departing from the traditional fragmented pipeline of data-training-evaluation, GE integrates future frame prediction, policy learning, and simulation evaluation for the first time into a closed-loop architecture centered on video generation. This enables robots to perform end-to-end reasoning and execution—from seeing to thinking to acting—within the same world model. Trained on 3,000 hours of real robot data, GE-Act not only significantly surpasses existing State-of-The-Art (SOTA) methods in cross-platform generalization and long-horizon task execution but also opens up a new technical pathway for embodied intelligence from visual understanding to action execution.Current robot learning systems typically adopt a phased development model—data collection, model training, and policy evaluation—where each stage is independent and requires specialized infrastructure and task-specific tuning. This fragmented architecture increases development complexity, prolongs iteration cycles, and limits system scalability. The GE platform addresses this by constructing a unified video-generative world model that integrates these disparate stages into a closed-loop system. Built upon approximately 3,000 hours of real robot manipulation video data, GE establishes a direct mapping from language instructions to the visual space, preserving the complete spatiotemporal information of robot-environment interactions.01/ Core Innovation: A Vision-Centric World Modeling ParadigmThe core breakthrough of GE lies in constructing a vision-centric modeling paradigm based on world models. Unlike mainstream Vision-Language-Action (VLA) method...

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