[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-gemini-atlas-physical-ai-update-zh":3,"article-related-gemini-atlas-physical-ai-update-zh":32,"series-industry-99ca39f4-b9fb-463b-bfed-cc104be14b06":77},{"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":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"99ca39f4-b9fb-463b-bfed-cc104be14b06","gemini-atlas-physical-ai-update-zh","Gemini進 Atlas 後，物理 AI 更接近可用","\u003Cp data-speakable=\"summary\">DeepMind把\u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa>接入Atlas，讓人形機器人更接近能看懂環境再行動。\u003C\u002Fp>\u003Cp>讀完這 5 項，你可以判斷這次 DeepMind 與波士頓動力的合作，究竟只是展示，還是已經逼近可部署的物理 AI。重點不只在 Atlas 變強，而是它\u003Ca href=\"\u002Fnews\u002Fpypi-wasm-wheels-pyodide-zh\">開始\u003C\u002Fa>把「看見、理解、行動」串成一個流程。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>關節數\u003C\u002Fth>\u003Cth>動作能力\u003C\u002Fth>\u003Cth>訓練目標\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Atlas 2026\u003C\u002Ftd>\u003Ctd>56 個主動關節\u003C\u002Ftd>\u003Ctd>多關節 360 度旋轉\u003C\u002Ftd>\u003Ctd>一天內學會新任務\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Gemini 集成\u003C\u002Ftd>\u003Ctd>不適用\u003C\u002Ftd>\u003Ctd>視覺-動作聯合推理\u003C\u002Ftd>\u003Ctd>減少手寫控制程式\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. Atlas 2026 的人形本體\u003C\u002Fh2>\u003Cp>Atlas 2026 最直觀的改變，是它不再只是「像人」，而是把人形機器人的動作自由度推得更高。56 個主動關節，加上部分關節可 360 度旋轉，讓它在轉身、伸展、抓取和姿態切換上更有餘裕。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878664419-u153.png\" alt=\"Gemini進 Atlas 後，物理 AI 更接近可用\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種硬體升級的意義很直接：關節越多，能做的動作越複雜，但控制難度也同步上升。Atlas 的價值，不只在機械結構，而在於它把高自由度身體交給更聰明的模型來駕馭。\u003C\u002Fp>\u003Cul>\u003Cli>56 個主動關節\u003C\u002Fli>\u003Cli>部分關節支援 360 度旋轉\u003C\u002Fli>\u003Cli>適合連續動作與複雜姿態調整\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. Gemini 帶來的視覺-動作聯合推理\u003C\u002Fh2>\u003Cp>DeepMind 把 Gemini 接進 Atlas，核心不是加一個語音助手，而是讓機器人把視覺理解和動作決策連在一起。它看到什麼、判斷什麼、下一步怎麼動，開始由同一個模型統整。\u003C\u002Fp>\u003Cp>這代表機器人不必再完全依賴工程師預先寫好的路徑。對物理 AI 來說，真正難的不是把手臂抬起來，而是在環境改變時，仍然能選對動作。\u003C\u002Fp>\u003Cul>\u003Cli>辨識物體、位置與空間關係\u003C\u002Fli>\u003Cli>依場景選擇抓取、移動或避讓\u003C\u002Fli>\u003Cli>減少逐行編寫控制邏輯\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 一天學會新任務的訓練效率\u003C\u002Fh2>\u003Cp>這次合作最有指標性的地方，是訓練時間被明確壓縮。傳統機器人導入新任務，常常要反覆調參、蒐集樣本、人工修正；Atlas 的目標是把這段流程壓到一天內。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878664535-k11o.png\" alt=\"Gemini進 Atlas 後，物理 AI 更接近可用\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>如果這個目標能穩定落地，機器人的部署方式就會更像軟體更新。換一個工位、換一種物料、換一個流程，適配成本都可能下降，這對工廠和倉儲比單次展示更有價值。\u003C\u002Fp>\u003Cul>\u003Cli>更快適應新工序\u003C\u002Fli>\u003Cli>更低的現場調試成本\u003C\u002Fli>\u003Cli>更適合多場景輪換部署\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 物理 AI 的應用邊界被推高\u003C\u002Fh2>\u003Cp>過去很多機器人只能做重複、規則固定的工作，原因不是它們完全不會動，而是對環境變化太不敏感。Gemini 加入後，Atlas 開始具備處理更複雜任務的潛力，應用邊界也被往外推。\u003C\u002Fp>\u003Cp>這類\u003Ca href=\"\u002Fnews\u002Fspacex-shou-gou-cursor-bu-hua-suan-ai-bian-cheng-zh\">能力\u003C\u002Fa>一旦成熟，價值會落在需要觀察、判斷、調整的場景，而不只是搬運和分揀。物理 AI 真正的商業空間，往往就在這些「動作不難，但情況總在變」的工作裡。\u003C\u002Fp>\u003Cul>\u003Cli>製造業裝配與巡檢\u003C\u002Fli>\u003Cli>倉儲拣選與搬運\u003C\u002Fli>\u003Cli>實驗室操作與樣本處理\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 合作模式比單打獨鬥更快\u003C\u002Fh2>\u003Cp>DeepMind 沒有自己從零做整機，而是和 \u003Ca href=\"https:\u002F\u002Fwww.bostondynamics.com\u002F\">波士頓動力\u003C\u002Fa> 合作，把模型能力直接嵌進成熟平台。這種分工的好處很清楚：硬體、控制和場景經驗可以並行推進，落地速度也更快。\u003C\u002Fp>\u003Cp>這也說明一件事，物理 AI 的競爭不只是比誰模型大，還比誰能更快把模型放進能工作的機器裡。未來更可能出現的是「模型公司 + 機器人公司 + 場景方」的組合。\u003C\u002Fp>\u003Cul>\u003Cli>模型能力與硬體平台分工\u003C\u002Fli>\u003Cli>更容易進入真實場景測試\u003C\u002Fli>\u003Cli>縮短從實驗室到產品的路徑\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>哪種適合你\u003C\u002Fh2>\u003Cp>如果你關注技術演進，最\u003Ca href=\"\u002Fnews\u002Fclaude-200-dollar-plan-not-worth-trusting-zh\">值得\u003C\u002Fa>盯的是 Gemini 的視覺-動作聯合推理能不能穩定工作；如果你看重產業落地，重點則是「一天內學會新任務」能否在工廠、倉儲和實驗室重現。\u003C\u002Fp>\u003Cp>對投資人或產業觀察者來說，這條新聞的訊號很明確：物理 AI 的競爭焦點正在從單純的機械性能，轉向模型能力、訓練效率和場景適配的組合。\u003C\u002Fp>","1 個合作信號看出物理 AI 正在加速：DeepMind 把 Gemini 接入 Atlas，目標是把新任務訓練壓到一天內。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2050174669467264059",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781878664419-u153.png","industry","zh","0df0f0e7-5492-41e8-8b7d-4c72a133bebf",[17,18,19,20,21,22,23],"DeepMind","Gemini","Atlas","波士頓動力","物理AI","人形機器人","視覺-動作聯合推理",[25,26,27],"Atlas 的重點不是更像人，而是高自由度硬體加上更強模型控制。","Gemini 讓機器人開始把看見、理解和行動串成一個流程。","一天內學會新任務，意味著機器人部署可能更接近軟體迭代。",0,"2026-06-19T14:17:20.95474+00:00","2026-06-19T14:17:20.945+00:00","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b",{"tags":33,"relatedLang":36,"relatedPosts":40},[34],{"name":18,"slug":35},"gemini",{"id":15,"slug":37,"title":38,"language":39},"deepmind-gemini-atlas-robotics-update-en","DeepMind把Gemini装进Atlas后，机器人更像会思考了","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"2c14071a-9780-4d9d-9ed0-c12fa1b40501","red-hat-ai-mavenir-telco-ai-stack-zh","Red Hat AI 把電信 AI 變成堆疊","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781885880665-z3qj.png","2026-06-19T16:17:38.29401+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"eda7a48a-4eda-4111-9103-38a24eaaec6a","manus-ai-github-clone-kits-zh","Manus AI 相關 GitHub 倉庫多是克隆套件","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781882272627-ya10.png","2026-06-19T15:17:26.427636+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"b302f90f-7a19-47c9-b086-721ca8897a0b","spacex-shou-gou-cursor-bu-hua-suan-ai-bian-cheng-zh","SpaceX收购Cursor不划算，AI編程能力應自己做","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781877776048-ipy6.png","2026-06-19T14:02:19.491301+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"3a363db2-44d4-4fef-bab1-029541c6f200","claude-200-dollar-plan-not-worth-trusting-zh","200美元月费的Claude套餐不值得默认信任","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781874168495-b2nl.png","2026-06-19T13:02:20.546766+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"1f5b7922-9af6-4c7d-9bb7-8130fb25dd7b","six-nations-jomtien-beach-windsurfing-event-zh","6 國齊聚芭達雅風帆賽","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781870577618-iope.png","2026-06-19T12:02:28.414096+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"f2177583-b1dd-4de8-8adf-6754d7c8f9c2","hermes-agent-learning-memory-gateways-zh","Hermes Agent 的 5 個關鍵能力","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781867872053-6r9l.png","2026-06-19T11:17:23.11904+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":84,"slug":85,"title":86,"created_at":87},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":119,"slug":120,"title":121,"created_at":122},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":124,"slug":125,"title":126,"created_at":127},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]