Google Deepmind unveils Gemini Robotics 2 to power robots of all shapes from tabletop arms to humanoids

AI 中文解读

谷歌DeepMind放大招了！他们发布了新一代机器人“大脑”——Gemini Robotics 2，这是目前最先进的视觉-语言-行动模型，简单说就是给机器人装上“眼睛”和“手脚联动系统”，让它能看懂环境、听懂指令，再做出动作。最震撼的是它通吃所有机型，从桌面上的小机械臂到全尺寸的人形机器人，都能靠这一个系统驱动。 DeepMind说这是给机器人加的“智能层”，既能控制全身协调运动，也能干精细活儿，还能同时指挥多个机器人协作。现在开发者已经可以排队申请体验了。同时推出的还有Gemini Robotics ER 2，相当于给机器人装了个“思考中枢”，让它在行动前先理解物理世界、判断该怎么做，这个模型目前已经放到了谷歌的AI工具平台上。这说明机器人离“通用智能”又进了一大步。以前机器人是“一条路走到黑”，只能干专一的事，现在有了通用的智能系统，未来家政机器人、工厂机械臂、养老陪护机器人可能会越来越聪明，能适应复杂环境，真正帮人类做更多实事。咱们普通人离“家里有个机器人帮手”的日子，越来越近了！

Google Deepmind unveils Gemini Robotics 2 to power robots of all shapes from tabletop arms to humanoids Matthias Bastian View the LinkedIn Profile of Matthias Bastian Jul 31, 2026 Google Deepmind has introduced Gemini Robotics 2, which it calls its most advanced vision-language-action (VLA) model yet. VLA models combine image recognition, language processing, and action control to help robots operate in physical environments. Deepmind says the model can control systems ranging from tabletop arms to full-body humanoid robots. The company describes Gemini Robotics 2 as an "intelligence layer" for a new generation of adaptive robots. It can manage full-body movement, perform fine motor tasks, and coordinate multiple robots, according to Deepmind. Developers can apply for early access through the waitlist. Google Deepmind also introduced Gemini Robotics ER 2, a model designed for "embodied reasoning." The term refers to understanding the physical world and deciding which actions to take based on that information. ER 2 acts as a higher-level control system for robots and replaces Gemini Robotics ER 1.6, released in April. The new model is available in Google AI Studio.AdDEC_D_Incontent-1Ad AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe now Source: Gemini Robotics Ask about this article… Search