PhiZero物理世界模型革新視頻生成，破解像素預測的物理偏差。它首創“物理語言”，讓AI顯式推理後再生成視頻，實現更穩定連貫的物理規律模擬，被視爲通往具身智能的關鍵突破。
具身智能迎來新玩家Enigma。核心難題是讓模型掌握未教技能。主流方法靠視頻、仿真、真人數據。Enigma不走尋常路，不鑽研模型能力，聚焦人機交互，希望從互動中催生直覺接口，甚至一種不經專門訓練的操控方式。
7月23日，阿里高德宣佈ABot具身體系全棧升級，發佈ABot-N1等五款核心模型，實現感知、決策、執行與記憶體系化整合，提升機器人自主執行通用任務能力，打造全球首個融合世界模型、基座模型與具身Agent的全棧體系，標誌具身智能邁向協同一體化新階段。
人形機器人從蹣跚學步到打拳跳舞僅用幾年，從能動到能幹活臨界點正加速逼近。7月22日，在西安舉行的2026年世界互聯網大會數字絲路發展論壇上，宇樹科技CEO王興興提出激進時間表：具身智能的“ChatGPT時刻”最快兩三年到來，屆時機器人將真正具備工作能力，跨越實際應用的高門檻。
智元機器人發佈的具身智能一站式開發平臺，覆蓋數據採集到模型推理全鏈路
智元發佈首個通用具身基座大模型GO-1，開創性提出ViLLA架構，推動具身智能發展。
Openai
$2.8
輸入tokens/百萬
$11.2
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1k
上下文長度
Anthropic
$105
$525
200
$7
$35
Alibaba
$2
$20
-
$4
$16
$3.9
$15.2
64
Baidu
32
Xai
$1.4
$10.5
256
$1.75
$14
400
$0.63
$3.15
131
Tencent
24
$21
$0.5
128
$3
$9
16
$1
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Huawei
mradermacher
SpaceQwen2.5-VL-3B-Instruct 是一個多模態視覺語言模型，專注於空間推理和具身智能任務。
facebook
VC-1是基於視覺Transformer的預訓練模型，專為具身智能任務設計，如物體操作和室內導航。
Isaac Sim MCP擴展通過自然語言控制NVIDIA Isaac Sim，實現機器人模擬、場景創建和動態交互，連接MCP生態與具身智能應用。
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