中國國興航太科技集團與上海交通大學聯合實驗室近期完成了一項里程碑式技術試驗：以開源 AI 代理 OpenClaw 為橋接層，透過在軌衛星上的大型語言模型（LLM）進行太空推理，實現對地面人形機器人的遠端智慧控制。這是全球首次在太空部署 AI Token 呼叫服務的實際驗證。
試驗技術架構：從語音指令到機器人動作的完整鏈路
試驗展示了一條端到端的閉環控制流程，OpenClaw 在其中扮演關鍵的橋接角色：
· 操作員發出語音指令，由 OpenClaw 負責接收與處理
· OpenClaw 將指令上行至中國在軌運行的計算衛星
· 衛星搭載的 LLM 利用太空算力執行在軌推理，生成決策結果
· 決策結果下行傳回地球，由 OpenClaw 接收
· OpenClaw 將指令轉譯並驅動地面人形機器人完成相應動作
試驗的核心意義在於，它驗證了「以太空算力支撐矽基智慧代理」的技術可行性，為 AI 代理與衛星計算能力的深度整合提供了全球首個實際案例。
太空算力的戰略意義：不依賴地面網路的 AI 運算基礎設施
當地面通訊基礎設施因自然災害、極端地形或其他因素無法正常運作時，傳統依賴地面伺服器的 AI 系統將喪失算力支撐。太空算力提供的分散式計算能力，理論上可成為以下設備的高效能 AI 運算後盾：人形機器人、四足機器狗、自主駕駛車輛，以及各類無人機。
今年 1 月，國興航太已率先將阿里巴巴的 Qwen3 大型語言模型上行至其天基計算中心，實現了完全在軌的端到端推理任務執行，為本次 OpenClaw 試驗奠定了基礎。
國興航太的太空算力路線圖：2030 年千顆、2035 年兩千八百顆
去年 5 月，中國發射了由 12 顆衛星組成的國興航太天基計算計畫首個衛星群。根據國興航太的長期規劃，公司計畫至 2035 年建成包含 2,400 顆推理衛星與 400 顆訓練衛星的專用計算衛星網絡，部署在 500 至 1,000 公里高度的太陽同步軌道、晨昏軌道和低傾角軌道上。第二與第三批衛星集群預計今年部署，到 2030 年，整體網絡規模將擴大至 1,000 顆衛星。
常見問題
OpenClaw 在此次試驗中扮演什麼角色？
OpenClaw 是一個開源 AI 代理，在此次試驗中作為橋接層，負責接收操作員的語音指令，將其上行至衛星，並在衛星推理完成後接收決策結果，驅動地面人形機器人執行動作，是連接人類指令、太空算力與地面機器人的關鍵節點。
為何需要使用衛星算力而非地面伺服器進行 AI 推理？
衛星算力的核心優勢在於不依賴地面網路基礎設施。在地面通訊系統受損或覆蓋不足的極端環境下，仍可提供高效能 AI 運算支援，使人形機器人、自主車輛和無人機等設備保持智慧運作能力。
國興航太的計算衛星計畫規模如何？
根據規劃，公司計畫至 2035 年建成涵蓋 2,400 顆推理衛星與 400 顆訓練衛星的龐大計算衛星網絡；第二與第三批衛星集群預計今年部署，2030 年時網絡規模將達 1,000 顆衛星。
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