[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-deepmind-gemini-atlas-robotics-update-en":3,"article-related-deepmind-gemini-atlas-robotics-update-en":33,"series-industry-0df0f0e7-5492-41e8-8b7d-4c72a133bebf":78},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"0df0f0e7-5492-41e8-8b7d-4c72a133bebf","deepmind-gemini-atlas-robotics-update-en","DeepMind把Gemini装进Atlas后，机器人更像会思考了","\u003Cp data-speakable=\"summary\">DeepMind把\u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa>接入Atlas，物理AI开始从演示走向可用。\u003C\u002Fp>\u003Cp>谷歌DeepMind与波士顿动力在CES 2026宣布合作，把Gemini AI集成进Atlas人形机器人，目标是把新任务学习时间压到一天内。这个变化不是简单升级硬件，而是把机器人从“按代码执行”推向“看懂环境再行动”。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>项目\u003C\u002Fth>\u003Cth>关节数\u003C\u002Fth>\u003Cth>动作能力\u003C\u002Fth>\u003Cth>训练目标\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Atlas 2026\u003C\u002Ftd>\u003Ctd>56个主动关节\u003C\u002Ftd>\u003Ctd>多关节360度旋转\u003C\u002Ftd>\u003Ctd>一天内学会新任务\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Gemini集成\u003C\u002Ftd>\u003Ctd>不适用\u003C\u002Ftd>\u003Ctd>视觉-动作联合推理\u003C\u002Ftd>\u003Ctd>减少手写控制代码\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. Atlas 2026的人形本体\u003C\u002Fh2>\u003Cp>Atlas 2026生产型号最直接的看点，是它的身体能力已经不是“像人”，而是超过很多人类动作边界。56个主动关节加上大量360度旋转结构，让它在姿态调整、转身、伸展和抓取上有更大的动作余量。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878666774-fc7b.png\" alt=\"DeepMind把Gemini装进Atlas后，机器人更像会思考了\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>这类硬件意义很现实：关节越多，机器人越能完成复杂动作，但也越依赖更聪明的控制系统。Atlas的价值不只在机械设计，而在于它把高自由度身体和更强的认知模型绑在了一起。\u003C\u002Fp>\u003Cul>\u003Cli>56个主动关节\u003C\u002Fli>\u003Cli>部分关节支持360度旋转\u003C\u002Fli>\u003Cli>适合复杂姿态和连续动作\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. Gemini带来的视觉-动作联合推理\u003C\u002Fh2>\u003Cp>DeepMind给Atlas带来的核心变化，是让机器人不再只接收固定指令，而是能把视觉信息和动作决策连起来。它看到什么、判断什么、下一步怎么动，开始由模型统一处理。\u003C\u002Fp>\u003Cp>这意味着机器人从“工程师预先写好路径”变成“现场理解任务再执行”。对物理AI来说，这一步很关键，因为现实世界里最大的难点不是做动作本身，而是面对变化时还能做对动作。\u003C\u002Fp>\u003Cul>\u003Cli>识别环境中的物体与位置关系\u003C\u002Fli>\u003Cli>根据场景选择抓取、移动或避让\u003C\u002Fli>\u003Cli>减少逐行编写控制逻辑\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 一天学会新任务的训练效率\u003C\u002Fh2>\u003Cp>这次合作最吸引人的地方，是训练时间的压缩目标。当前机器人训练往往需要大量调试、样本和人工介入，而Atlas的新目标是把学习新任务的周期压到一天内。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878661579-ndu9.png\" alt=\"DeepMind把Gemini装进Atlas后，机器人更像会思考了\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>如果这个目标能够稳定实现，机器人部署方式会变得更接近软件迭代：换一个工位、换一种物料、换一项流程，适配成本都可能明显下降。对工厂、仓储和实验室来说，这比单次演示更重要。\u003C\u002Fp>\u003Cul>\u003Cli>更快适配新工序\u003C\u002Fli>\u003Cli>更低的现场调试成本\u003C\u002Fli>\u003Cli>更适合多场景轮换部署\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 物理AI的应用边界被推高了\u003C\u002Fh2>\u003Cp>过去很多机器人只适合重复、规则固定的工作，因为它们对环境变化的容忍度有限。Gemini加入后，Atlas开始具备处理复杂任务的潜力，应用边界也随之被拉高。\u003C\u002Fp>\u003Cp>这类能力一旦成熟，价值会落到需要观察、判断、调整的场景里，而不只是搬运和分拣。物理AI真正的商业空间，往往就在这些“动作不难，但情况总在变”的工作中。\u003C\u002Fp>\u003Cul>\u003Cli>制造业装配与巡检\u003C\u002Fli>\u003Cli>仓储拣选与搬运\u003C\u002Fli>\u003Cli>实验室操作与样本处理\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 合作模式比单打独斗更快\u003C\u002Fh2>\u003Cp>DeepMind没有自己从零造整机，而是选择和波士顿动力合作，把模型能力直接嵌进成熟机器人平台。这种路径的优势很清楚：硬件、控制和场景经验可以分工推进，落地速度也更快。\u003C\u002Fp>\u003Cp>对行业观察者来说，这说明物理AI的竞争不只是比谁模型大，还比谁能更快把模型塞进可工作的机器里。未来更可能出现的是“模型公司 + 机器人公司 + 场景方”的组合，而不是单一厂商包办全部环节。\u003C\u002Fp>\u003Cul>\u003Cli>模型能力与硬件平台分工\u003C\u002Fli>\u003Cli>更容易进入真实场景测试\u003C\u002Fli>\u003Cli>缩短从实验室到产品的路径\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>如果你关注的是技术演进，Atlas这次更新最值得看的是“视觉-动作联合推理”是否真的能稳定工作；如果你看重产业落地，重点则是一天内学会新任务能否在工厂和仓储里复现。\u003C\u002Fp>\u003Cp>对投资和行业研究来说，这条新闻的信号很明确：物理AI的竞争焦点正在从单纯的机械性能，转向模型能力、训练效率和场景适配三者的组合。\u003C\u002Fp>","1个合作信号说明物理AI正在加速：DeepMind把Gemini接入Atlas，目标是把新任务训练压到一天内。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2050174669467264059",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878666774-fc7b.png","industry","en","99ca39f4-b9fb-463b-bfed-cc104be14b06",[17,18,19,20,21,22,23,24],"物理AI","DeepMind","Gemini","Atlas","人形机器人","视觉-动作联合推理","波士顿动力","CES2026",[26,27,28],"Atlas 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