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Ars Technica · AI· Ryan Whitwam·· 4 天前

DeepMind 发布 Gemini Robotics 2.5 及开源安全基准 "ASIMOV-jailbreak"

DeepMind reveals Gemini Robotics 2.5 and open safety benchmark "ASIMOV-jailbreak"

要点速览

DeepMind 发布 Gemini Robotics 2.5,其机器人 AI 在完成夹持食物、实验室移液等 200 项任务时已接近人类水平,并在 Apptronik Apollo 2 人形机器人上实现系蝴蝶结等高精度操作;该版本大幅提升灵巧性,同时推出开源安全基准 "ASIMOV-jailbreak"。

同一件事另外 3 家也报道了

  1. Google DeepMind··首发

    Google DeepMind 发布 Gemini Robotics 2.5 视觉-语言-动作模型

  2. Ars Technica · AI··+19 小时 9 分·当前阅读

    DeepMind 发布 Gemini Robotics 2.5 及开源安全基准 "ASIMOV-jailbreak"

  3. The Decoder··+21 小时 19 分

    Google DeepMind 的 Gemini Robotics 2.5 在梅赛德斯-奔驰装配线试点中成功率达 96%

  4. IT之家 · AI··+27 小时 3 分

    谷歌最强 VLA 机器人模型 Gemini Robotics 2.5 登场,会系蝴蝶结、已在奔驰生产线上岗

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正文

Google DeepMind has revealed a new generation of the AI-powered Gemini Robotics platform. In the 2.5 release, Google says its robotic AI is getting tantalizingly close to completing real-world tasks as well as humans do. In fact, some Gemini robots were able to get actual work done in Mercedes-Benz factories, and the team is preparing for a day when robots operate alongside humans with an open source safety benchmark.

DeepMind's physical AI platform has several computational layers between user input and robotic action. There's the vision-language model piece, which is Gemini Embodied Reasoning. Essentially, it takes your instructions and uses live video to plan how the robot can accomplish the task. The other main component is the vision-language-action (VLA) that actually generates robot actions, like moving an actuator—that's Gemini Robotics, which has been bumped to version 2.5.

DeepMind says that Gemini Robotics 2.5 is much better at tasks that require a high degree of dexterity. The model was evaluated across more than 200 activities, including serving food with tongs and using a pipette, as you would see in a laboratory. Google also showed that Apptronik’s Apollo 2 humanoid robot with Gemini Robotics 2.5 can now tie a bow with its five-fingered hands, a notable feat, because deformable objects (like ribbon) are notoriously difficult for robots to manipulate.

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来源: Ars Technica · AI · arstechnica.com