Today, AgiBot launches Genie Operator-1 (GO-1), an innovative generalist embodied foundation model which redefines how robots see, understand, and act in the real world. GO-1 introduces the novel Vision-Language-Latent-Action (ViLLA) framework, combining a Vision-Language Model (VLM) and Mixture of Experts (MoE). The VLM utilizes internet-scale heterogeneous data to establish a solid foundation for scene and object understanding.

The MoE consists of two key components: the Latent Planner, which learns from cross-embodiment and human operation data to develop general action understanding, and the Action Expert, which uses over a million real robot demonstrations to achieve high-frequency and dexterous manipulation.

These components work in synergy, providing GO-1's unique capabilities:

  • Learning from Human Videos
  • Few-shot Generalization
  • Cross-Embodiment Adaptation
  • Continuous Self-Evolution

AgiBot GO-1 is driving the shift from rigid, task-specific automation to versatile, generalist robotics, unlocking new possibilities across industries—from manufacturing and logistics to services and home automation.

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AgiBot

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William Peng

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China

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