Google 发布 Gemini 4 Argon 机器人控制模型
原标题：Google Releases Gemini 4 Argon for Robotics Control, Simulation, and Policy Improvement
AI 摘要
Google 发布 Gemini 4 Argon，将其定位为面向机器人控制、Real2Sim 场景构建、机器人视频多模态标注和策略迭代改进的通用物理推理模型，而非单一末端执行器策略。官方称 Argon 在 ERQA 基准上以纯推理取得 87% 成绩，并可通过 Google AI Ultra 订阅和付费 Gemini API 使用。开发者讨论聚焦仿真保真度与 Video-to-Sim-to-Real 说法的来源严谨性。
正文节选
Google has released Gemini 4 Argon framing it as a general-purpose physical-reasoning model for robot control, Real2Sim scene construction, multimodal labeling of robot video, and iterative policy improvement, rather than as a single end-effector policy. In the published prompts, Argon directs a Boston Dynamics Spot through a foot-pedal task after practice in a MuJoCo twin, steers a simpler arm with visual coordinates and HTTP motion primitives, and closes a loop with the Gemini Omni video world