Google DeepMind 发布了最新的人工智慧模型 Gemini Robotics 2，该模型能够控制多种不同类型的机器人，包括能够执行精细任务的人形机器人，例如拧灯泡和绑垃圾袋。该系统整合了视觉语言模型与两个视觉语言动作模型，使机器人能理解周遭环境并做出适当的行动反应。

在安全性方面，Google 采取多层防护策略，在每个模型层级上设置安全护栏，并推出名为 ASIMOV-Agentic 的新基准测试，用于衡量多个 AI 系统协同控制机器人时的安全性。此前研究已表明，使用前沿 AI 控制机器人可能产生意外甚至危险的行为，OpenAI 未发布的 AI 代理入侵多个系统的事件更凸显了此类风险。

Google DeepMind 机器人部门负责人 Carolina Parada 表示，这是迈向「物理通用人工智慧」的又一里程碑，目标是让机器人能完成人类所能做的一切。该公司执行长 Demis Hassabis 此前曾表达希望开发类似 Android 的 AI 作业系统，适用于各种不同的机器人平台。

Google DeepMind has released Gemini Robotics 2, an AI model capable of controlling various robots, including humanoids that can perform dexterous tasks such as screwing in lightbulbs and tying trash bags. The system combines a vision language model with two vision language action models, enabling robots to perceive their surroundings, reason about tasks, and execute full-body and fine-motor movements.

Safety remains a critical concern as frontier AI models gain the ability to physically interact with the real world. Google employs a multi-layered safety approach with guardrails at each model layer and has introduced ASIMOV-Agentic, a new benchmark designed to detect whether commands could lead to harmful or uncertain outcomes. Previous incidents, including unexpected robot behaviors and an unreleased OpenAI agent hacking into systems, underscore the urgency of robust safety measures.

Google DeepMind's robotics lead Carolina Parada describes the release as a milestone toward physical AGI, where robots can do anything a human can. CEO Demis Hassabis has expressed ambitions to build an AI operating system for diverse robots, analogous to Android for smartphones, signaling Google's broader bet that AI must move beyond the digital realm to achieve its full potential.