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\u5728\u52a8\u529b\u57df\u65b9\u9762\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u5bf9 PowerFlow \u5173\u8282\u6a21\u7ec4\u5b9e\u73b0\u4e86\u91cf\u4ea7\u5316\u8fed\u4ee3\u5347\u7ea7\uff0c\u4ece\u53c2\u6570\u4e0a\u770b\uff0cPowerFlow \u5173\u8282\u6a21\u7ec4\u90fd\u6709\u5927\u5e45\u63d0\u5347\u3002\u5728\u7a33\u5b9a\u6027\u548c\u53ef\u9760\u6027\u65b9\u9762\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u4e5f\u5bf9\u5176\u5cf0\u503c\u6027\u80fd\u3001\u8001\u5316\u901f\u5ea6\u7b49\u65b9\u9762\u8fdb\u884c\u4e86\u5927\u91cf\u6d4b\u8bd5\u548c\u4f18\u5316\u3002<\/section>\n
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\u5728\u901a\u4fe1\u57df\u65b9\u9762\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u81ea\u7814\u4e86\u5177\u8eab\u539f\u751f\u3001\u8f7b\u91cf\u5316\u3001\u9ad8\u6027\u80fd\u7684\u667a\u80fd\u673a\u5668\u4eba\u901a\u4fe1\u6846\u67b6 AimRT\u3002\u76f8\u6bd4 ROS \u7b49\u7b2c\u4e09\u65b9\u4e2d\u95f4\u4ef6\uff0c\u63d0\u5347\u4e86\u6027\u80fd\u3001\u7a33\u5b9a\u6027\u3001\u7cfb\u7edf\u90e8\u7f72\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\uff0c\u540c\u65f6\u53c8\u5b8c\u5168\u517c\u5bb9 ROS\/ROS2 \u5df2\u6709\u751f\u6001\u3002AimRT \u5c06\u4e8e 9 \u6708\u5e95\u5f00\u6e90\u3002<\/section>\n
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\u5bf9\u4e8e\u63a7\u5236\u57df\u65b9\u9762\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u7ed3\u5408\u4e86 Model-based \u4e0e Learning-based \u4e24\u79cd\u7b97\u6cd5\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u673a\u5668\u4eba\u8fd0\u52a8\u63a7\u5236\u4e0e\u9002\u5e94\u80fd\u529b\u3002\u5bf9\u4e8e Model-based\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u7cfb\u7edf\u7684\u9c81\u68d2\u6027\uff0c\u56e0\u6b64\uff0c\u5728\u53d1\u5e03\u4f1a\u4e0a\u673a\u5668\u4eba\u6240\u505a\u7684\u6f14\u793a\u624d\u80fd\u5982\u6b64\u6d41\u7545\u548c\u4e1d\u6ed1\u3002\u5bf9\u4e8e Learning-based \u7b97\u6cd5\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u5728\u8fd9\u91cc\u5212\u4e86\u4e00\u4e2a\u91cd\u70b9\uff0c\u5e0c\u671b\u80fd\u4fc3\u6210\u673a\u5668\u4eba\u8bad\u7ec3\u65b9\u6cd5\u4ece\u7b97\u6cd5\u9a71\u52a8 – \u6570\u636e\u9a71\u52a8\u7684\u8f6c\u53d8\u3002<\/section>\n
<\/a><\/section>\n
\u5728\u8fd0\u63a7\u7b97\u6cd5\u7684\u57fa\u7840\u4e0a\uff0c\u300c\u667a\u5143\u673a\u5668\u4eba\u300d\u9884\u7814\u4e86\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\u96c6\u9a71\u52a8\u7684\u3001\u53ef\u4ee5\u9002\u914d\u4e0d\u540c\u673a\u5668\u4eba\u672c\u4f53\u7684 AgentOS\uff0c\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\uff0c\u5b9e\u73b0\u673a\u5668\u4eba\u6280\u80fd\u7684\u7cbe\u51c6\u7f16\u6392\u4e0e\u9ad8\u6548\u6267\u884c\u3002<\/section>\n
<\/a><\/section>\n
\u9996\u6b21\u63d0\u51fa G1-G5 \u5177\u8eab\u667a\u80fd\u6280\u672f\u6f14\u8fdb\u8def\u7ebf<\/strong><\/section>\n
<\/section>\n
\u5728\u672c\u6b21\u53d1\u5e03\u4f1a\u4e0a\uff0c\u667a\u5143\u673a\u5668\u4eba\u8fd8\u9996\u6b21\u63d0\u51fa\u4e86\u5177\u8eab\u667a\u80fd\u9886\u57df\u7684\u6280\u672f\u6f14\u8fdb\u8def\u7ebf\uff0c\u5305\u542b\u4ece G1 \u5230 G5 \u4e94\u4e2a\u9636\u6bb5\uff1a<\/section>\n
<\/a><\/section>\n
G1 \u6307\u7684\u662f\u57fa\u7840\u81ea\u52a8\u5316\u9636\u6bb5\uff0c\u4e5f\u5c31\u662f\u57fa\u4e8e\u624b\u5de5\u8bbe\u8ba1\u7684\u7279\u5f81\uff0c\u914d\u5408\u7b80\u5355\u7684\u673a\u5668\u89c6\u89c9\u53bb\u505a\u4e00\u4e9b\u53cd\u9988\u3002\u8fd9\u4e00\u9636\u6bb5\u7684\u90e8\u7f72\u662f\u4e3a\u7279\u5b9a\u7684\u573a\u666f\u91cf\u8eab\u5b9a\u5236\u7684\uff0c\u867d\u7136\u53ef\u4ee5\u89e3\u51b3\u67d0\u4e9b\u573a\u666f\u4e0b\u7684\u4efb\u52a1\u6267\u884c\u95ee\u9898\uff0c\u4f46\u65e0\u6cd5\u5728\u4e0d\u540c\u7684\u573a\u666f\u91cc\u9762\u505a\u4f4e\u6210\u672c\u5feb\u901f\u8fc1\u79fb\u3002<\/section>\n
<\/section>\n
G2 \u662f\u300c\u901a\u7528\u539f\u5b50\u6280\u80fd\u300d\u9636\u6bb5\uff0c\u9488\u5bf9\u5927\u91cf\u4e0d\u540c\u7684\u573a\u666f\u4efb\u52a1\u548c\u5404\u79cd\u4f5c\u4e1a\u7684\u4efb\u52a1\u9700\u6c42\uff0c\u63d0\u70bc\u51fa\u4e00\u4e9b\u53ef\u4ee5\u590d\u7528\u7684\u539f\u5b50\u80fd\u529b\u3002\u7b80\u800c\u8a00\u4e4b\uff0c\u662f\u4ee5\u76f8\u5bf9\u901a\u7528\u7684\u65b9\u5f0f\u53bb\u5b9e\u73b0\u7c7b\u4f3c\u573a\u666f\u4efb\u52a1\u7684\u5feb\u901f\u8fc1\u79fb\uff0c\u7136\u540e\u914d\u5408\u5927\u8bed\u8a00\u6a21\u578b\u6846\u67b6\u53bb\u505a\u4efb\u52a1\u7f16\u6392\uff0c\u4f7f\u5f97\u673a\u5668\u4eba\u5177\u5907\u4e00\u5b9a\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/section>\n
<\/section>\n
G3 \u5219\u610f\u5473\u7740\u5177\u8eab\u667a\u80fd\u7684\u6574\u4f53\u67b6\u6784\u5f00\u59cb\u8c03\u6574\u4e3a\u300c\u7aef\u5230\u7aef\u300d\u7684\u8def\u7ebf\uff0c\u5c3d\u7ba1\u8fd9\u4e2a\u9636\u6bb5\u4e0e G2 \u9636\u6bb5\u7684\u7b97\u6cd5\u67b6\u6784\u53ef\u80fd\u662f\u7c7b\u4f3c\u7684\uff0c\u4f46\u6b64\u65f6\u7684\u5404\u9879\u300c\u539f\u5b50\u80fd\u529b\u300d\u7684\u5f62\u6210\u65b9\u5f0f\uff0c\u5df2\u7ecf\u7531\u624b\u5de5\u8bbe\u8ba1\u7684\u7b97\u6cd5\u9a71\u52a8\u53d8\u4e3a\u4e86\u5927\u91cf\u6570\u636e\u91c7\u96c6\u4e4b\u540e\u7684\u6570\u636e\u9a71\u52a8\u3002<\/section>\n
<\/section>\n
\u533a\u522b\u4e8e\u524d\u4e09\u4e2a\u9636\u6bb5\uff0cG4 \u9636\u6bb5\u5c06\u4f1a\u51fa\u73b0\u4e00\u4e2a\u901a\u7528\u7684\u7aef\u5230\u7aef\u64cd\u4f5c\u5927\u6a21\u578b\u3002\u5230\u4e86\u8fd9\u4e00\u9636\u6bb5\uff0c\u5373\u53ef\u5f15\u5165\u5927\u91cf\u8de8\u573a\u666f\u7684\u771f\u5b9e\u6570\u636e\u548c\u4eff\u771f\u6570\u636e\uff0c\u540c\u65f6\u5f15\u5165\u4e16\u754c\u6a21\u578b\u5e2e\u52a9 AI \u7406\u89e3\u73b0\u5b9e\u4e16\u754c\u80cc\u540e\u7684\u7269\u7406\u539f\u7406\uff0c\u7406\u89e3\u4e0d\u540c\u4efb\u52a1\u80cc\u540e\u5e95\u5c42\u903b\u8f91\u7684\u76f8\u901a\u4e4b\u5904\u3002\u6bd4\u5982\u5bf9\u4e8e\u300c\u62e7\u5f00\u74f6\u5b50\u300d\u548c\u300c\u62e7\u5f00\u95e8\u628a\u624b\u300d\u8fd9\u4e24\u4ef6\u4e8b\uff0c\u5c31\u4e0d\u518d\u9700\u8981\u91c7\u96c6\u4e24\u4efd\u5355\u72ec\u7684\u6570\u636e\u4ee5\u83b7\u5f97\u4e24\u9879\u5355\u72ec\u7684\u6280\u80fd\u3002\u6700\u7ec8\u901a\u5411\u65e0\u9650\u8d8b\u8fd1 AGI \u7684 G5 \u9636\u6bb5\u3002<\/section>\n
<\/section>\n
\u8fc7\u53bb\u4e00\u5e74\uff0c\u667a\u5143\u673a\u5668\u4eba\u5df2\u7ecf\u5728 G2 \u8def\u7ebf\u53d6\u5f97\u4e86\u9636\u6bb5\u6027\u7a81\u7834\uff0c\u5b9e\u73b0\u4e86\u901a\u7528\u7684\u4f4d\u59ff\u4f30\u8ba1\u6a21\u578b UniPose\u3001\u901a\u7528\u7684\u6293\u53d6\u6a21\u578b UniGrasp\uff0c\u901a\u7528\u7684\u529b\u63a7\u63d2\u62d4\u6a21\u578b UniPlug \u7b49\u4e00\u7cfb\u5217 zero-shot \u548c few-shot \u7684\u901a\u7528\u539f\u5b50\u6280\u80fd\u3002\u5728 G2 \u9636\u6bb5\u7684\u539f\u5b50\u80fd\u529b\u6a21\u578b\uff0c\u9762\u5411\u67d4\u6027\u667a\u9020\u548c\u4ea4\u4e92\u670d\u52a1\u573a\u666f\uff0c\u5df2\u7ecf\u5728\u591a\u4e2a\u5b9e\u9645\u573a\u666f\u4e2d\u5f97\u5230\u4e86\u5546\u4e1a\u5e94\u7528\u3002<\/section>\n
<\/section>\n
\u5728 G3 \u8def\u7ebf\u4e0a\uff0c\u667a\u5143\u673a\u5668\u4eba\u4e5f\u5f62\u6210\u4e86\u4e00\u5957\u5b8c\u6574\u7684\u5168\u6d41\u7a0b\u5177\u8eab\u6570\u636e\u65b9\u6848 AIDEA\uff08Agibot Integrated Data-system for Embodied AI\uff0c\u667a\u5143\u5177\u8eab\u667a\u80fd\u6570\u636e\u7cfb\u7edf\uff09\u3002<\/section>\n
<\/a><\/section>\n
\u4f46\u6211\u4eec\u90fd\u77e5\u9053\uff0c\u8981\u60f3\u5f62\u6210\u8fd9\u6837\u4e00\u5957\u65b9\u6848\uff0c\u9996\u5148\u9700\u8981\u6295\u5165\u5927\u91cf\u7684\u6570\u636e\u91c7\u96c6\u6210\u672c\uff0c\u4e0d\u662f\u6bcf\u4e2a\u673a\u5668\u4eba\u56e2\u961f\u90fd\u6709\u6761\u4ef6\u505a\u5230\u7684\u3002<\/section>\n
<\/section>\n
\u800c\u667a\u5143\u673a\u5668\u4eba\u505a\u5230\u4e86\uff0c\u8fd8\u9884\u5907\u5728\u4eca\u5e74\u7b2c\u56db\u5b63\u5ea6\u5f00\u6e90\u3002<\/section>\n
<\/section>\n
\u7a1a\u6656\u541b\u8868\u793a\uff0c\u6570\u636e\u91c7\u96c6\u662f\u6574\u4e2a\u73af\u8282\u7684\u75db\u70b9\u3002\u5728\u8fc7\u53bb\u4e00\u5e74\u4e2d\u4ed6\u4eec\u9762\u5411\u6570\u636e\u505a\u4e86\u5927\u91cf\u7684\u57fa\u5efa\u5de5\u4f5c\uff0c\u800c\u4e14\u5f62\u6210\u4e86\u4e00\u5957\u5b8c\u6574\u3001\u5168\u6d41\u7a0b\u7684\u6570\u636e\u91c7\u96c6\u3001\u5e94\u7528\u7684\u65b9\u6848 AIDEA\u3002<\/section>\n
<\/section>\n
AIDEA \u9664\u4e86\u63d0\u4f9b\u786c\u4ef6\u672c\u4f53\u65b9\u6848\u4e4b\u5916\uff0c\u4e5f\u4f1a\u63d0\u4f9b\u6574\u4e2a\u4e91\u5168\u94fe\u8def\u6570\u636e\u5e73\u53f0\uff0c\u8fd8\u6709 AIDEA ML \u673a\u5668\u5b66\u4e60\u5e73\u53f0\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u4e0e\u7b97\u6cd5\u8bc4\u6d4b\uff0c\u4ee5\u53ca AIDEA Sim \u4eff\u771f\u5e73\u53f0\u3002<\/section>\n
<\/a><\/section>\n
\u7a1a\u6656\u541b\u8868\u793a\uff0c\u4ed6\u9884\u8ba1\u63a5\u4e0b\u6765\u667a\u5143\u4f1a\u6709\u767e\u53f0\u4ee5\u4e0a\u81ea\u7531\u90e8\u7f72\u673a\u5668\u4eba\u4e13\u95e8\u7528\u6765\u505a\u7aef\u5230\u7aef\u7684\u6570\u636e\u91c7\u96c6\uff0c\u4ed6\u4eec\u4e5f\u5c06\u4e8e\u56db\u5b63\u5ea6\u5f00\u6e90\u57fa\u4e8e AIDEA \u7684\u767e\u4e07\u6761\u771f\u673a\u3001\u5343\u4e07\u6761\u4eff\u771f\u6570\u636e\u96c6\uff0c\u4ee5\u79ef\u6781\u5efa\u8bbe\u5f00\u653e\u751f\u6001\u3002<\/section>\n
<\/section>\n
\u7a1a\u6656\u541b\u7684 One more thing<\/strong><\/section>\n
<\/section>\n
\u5927\u6982\u56e0\u4e3a\u89c9\u5f97\u4e00\u5e74\u624d\u5f00\u4e00\u6b21\u53d1\u5e03\u4f1a\u5c5e\u5b9e\u300c\u9e3d\u300d\u592a\u4e45\u4e86\uff0c\u7a1a\u6656\u541b\u4e5f\u5728\u53d1\u5e03\u4f1a\u6700\u540e\u516c\u5e03\u4e86 One more thing\uff1a\u5168\u6808\u5f00\u6e90\u673a\u5668\u4eba\u7075\u7280 X1\u3001\u4e13\u4e1a\u6570\u91c7\u673a\u5668\u4eba\u7075\u7280 X1-W \u4e24\u6b3e\u65b0\u54c1\u3002<\/section>\n

<\/a><\/p>\n

\u8fd9\u4e24\u6b3e\u673a\u5668\u4eba\u6765\u81ea\u4e8e X-Lab\uff08\u7a1a\u6656\u541b\u5b9e\u9a8c\u5ba4\uff09\uff0c\u662f 10 \u4e2a\u4eba\u4e0d\u5230 3 \u4e2a\u6708\u7684\u65f6\u95f4\u505a\u51fa\u7684\u4ea7\u54c1\uff0c\u91cc\u9762\u6709\u975e\u5e38\u591a\u7684\u521b\u65b0\u7ec6\u8282\u3002\u4f8b\u5982\uff0c\u81ea\u7814\u4e86 PF86 \u548c PF52 \u4e24\u6b3e\u5168\u65b0\u7684 PowerFlow \u5173\u8282\uff0c\u878d\u5165\u4e86\u6a21\u5757\u5316\u8bbe\u8ba1\u7406\u5ff5\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u62b1\u7b8d\u5f62\u5f0f\u8f7b\u677e\u62c6\u88c5\u3002<\/section>\n
<\/section>\n
\u57fa\u4e8e X-Lab \u5bf9\u6781\u81f4\u521b\u65b0\u7684\u8ffd\u6c42\uff0c\u7a1a\u6656\u541b\u8868\u793a\uff0c\u4f1a\u5f00\u6e90\u7075\u7280 X1 \u7684\u672c\u4f53\u8bbe\u8ba1\u56fe\u7eb8\u3001\u8f6f\u4ef6\u6846\u67b6\u3001\u4e2d\u95f4\u4ef6\u6e90\u7801\u3001\u57fa\u7840\u8fd0\u63a7\u7b97\u6cd5\u3002<\/section>\n
<\/section>\n
\u6b64\u5916\u5728\u6267\u884c\u5668\u65b9\u9762\uff0cX-Lab \u81ea\u7814\u4e86\u5e26\u524d\u9988\u529b\u63a7\u3001\u8d85\u4f4e\u6210\u672c\u7684\u81ea\u9002\u5e94\u901a\u7528\u5939\u722a\uff0c\u4e5f\u63a8\u51fa\u4e86\u6ee1\u8db3\u573a\u666f\u9700\u6c42\u7684\u767e\u5143\u7ea7\u6210\u672c\u7684\u516d\u7ef4\u529b\u4f20\u611f\u5668\u3002<\/section>\n
<\/section>\n
\u5bf9\u4e86\uff0c\u7075\u7280\u7684\u552e\u4ef7\u662f\u96f6\u5143\uff0c\u5f00\u6e90\u5927\u90e8\u5206\u8bbe\u8ba1\u8d44\u6599\u53ca\u4ee3\u7801\uff0c\u4f46\u5356\u96f6\u4ef6\u3002<\/section>\n
<\/section>\n
\u7a1a\u6656\u541b\u8868\u793a\uff0c\u5e0c\u671b\u8fd9\u80fd\u591f\u63a8\u52a8\u300c\u4eba\u5f62\u673a\u5668\u4eba\u4eba\u4eba\u9020\u300d\u65f6\u4ee3\u7684\u5230\u6765\u3002<\/section>\n
<\/section>\n
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