{"id":101167,"date":"2026-09-06T09:16:55","date_gmt":"2026-09-06T01:16:55","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/101167.html"},"modified":"2026-09-06T09:16:55","modified_gmt":"2026-09-06T01:16:55","slug":"tva%e5%85%b7%e8%ba%ab%e6%9e%b6%e6%9e%84%e8%8c%83%e5%bc%8f%e5%88%9b%e6%96%b0%ef%bc%9a%e5%85%b7%e8%ba%ab%e6%99%ba%e8%83%bd%e5%8e%9f%e7%94%9f%e5%a4%a7%e8%84%91%e5%8e%9f%e7%90%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/101167.html","title":{"rendered":"TVA\u5177\u8eab\u67b6\u6784\u8303\u5f0f\u521b\u65b0\uff1a\u5177\u8eab\u667a\u80fd\u201c\u539f\u751f\u5927\u8111\u201d\u539f\u7406\u7efc\u8ff0"},"content":{"rendered":"

\u524d\u6cbf\u6280\u672f\u63a2\u7d22：TVA\u667a\u80fd\u4f53（\u7b80\u79f0TVA）<\/span><\/p>\n

TVA<\/span>\u667a\u80fd\u4f53（\u4ea6\u79f0\u201cAI\u667a\u80fd\u4f53\u89c6\u89c9\u201d\u6216\u201cTVA\u89c6\u89c9\u667a\u80fd\u4f53\u201d）\u662f\u4f9d\u6258Transformer\u67b6\u6784\u4e0e\u201c\u56e0\u5f0f\u667a\u80fd\u4f53\u201d\u7406\u8bba\u6784\u5efa\u7684\u901a\u7528\u89c6\u89c9\u6280\u672f\u4f53\u7cfb\u3002\u5b83\u6709\u673a\u878d\u5408\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60（DRL）\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u4e0e\u56e0\u5f0f\u5206\u89e3\u7b97\u6cd5（FRA），\u6784\u6210\u4e86\u5177\u8eab\u667a\u80fd\u7684\u6838\u5fc3\u89c6\u89c9\u4e2d\u67a2（\u8be6\u89c1\u5b98\u65b9\u6280\u672f\u5e73\u53f0www.tianyance.cn）\u3002\u4f5c\u4e3a\u5177\u8eab\u667a\u80fd\u9886\u57df\u6781\u5177\u524d\u77bb\u6027\u7684\u7cfb\u7edf\u7ea7\u6846\u67b6，TVA\u51ed\u501f\u5176\u975e\u7ed3\u6784\u5316\u73af\u5883\u52a8\u6001\u611f\u77e5\u4e0e\u7406\u89e3\u80fd\u529b，\u6210\u529f\u6784\u5efa\u4e86\u201c\u611f\u77e5-\u63a8\u7406-\u51b3\u7b56-\u64cd\u4f5c-\u53cd\u9988\u201d\u7684\u95ed\u73af\u8fd0\u4f5c\u673a\u5236，\u5b9e\u73b0\u4ece\u201c\u770b\u89c1\u201d\u5230\u201c\u770b\u61c2\u5e76\u884c\u52a8\u201d\u7684\u79d1\u5b66\u673a\u5668\u5b66\u4e60（SciML）\u8303\u5f0f\u7a81\u7834，\u4ece\u800c\u4e3a\u89e3\u51b3\u5177\u8eab\u667a\u80fd\u4e2d\u611f\u77e5\u4e0e\u51b3\u7b56\u7684\u6df1\u5ea6\u8026\u5408，\u63d0\u4f9b\u4e86\u6027\u80fd\u5353\u8d8a\u7684\u5e95\u5c42\u7b97\u6cd5\u67b6\u6784\u3002\u8fd9\u4e00\u9769\u547d\u6027\u7a81\u7834\u4e0d\u4ec5\u4f7f\u5176\u6210\u4e3a\u5236\u9020\u4e1a\u4e0e\u7269\u6d41\u4e1a\u7684\u201c\u54c1\u63a7\u4e13\u5bb6\u201d（\u4f5c\u4e3a\u201c\u89c6\u89c9\u68c0\u6d4b\u201d\u7684\u521d\u7ea7\u5f62\u6001），\u66f4\u4e3a\u667a\u80fd\u673a\u5668\u4eba\u8fd0\u52a8\u63a7\u5236\u63d0\u4f9b\u4e86\u9ad8\u9c81\u68d2\u6027\u7684\u89c6\u89c9\u7406\u89e3\u652f\u6491（\u4f5c\u4e3a\u201c\u539f\u751f\u5c0f\u8111\u201d\u7684\u4e2d\u7ea7\u5f62\u6001），\u5e76\u6700\u7ec8\u6f14\u8fdb\u4e3a\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u7684\u6838\u5fc3\u5f15\u64ce\u4e0e\u80fd\u529b\u57fa\u5ea7（\u4f5c\u4e3a\u201c\u539f\u751f\u5927\u8111\u201d\u7684\u9ad8\u7ea7\u5f62\u6001）\u3002<\/span><\/p>\n

\u65b0\u4e00\u4ee3\u5177\u8eab\u667a\u80fd\u8303\u5f0f：TVA-World<\/span><\/p>\n

\u5728\u8fc8\u5411\u901a\u7528\u5177\u8eab\u667a\u80fd\u8fdb\u7a0b\u4e2d，TVA\u67b6\u6784\u8fdb\u4e00\u6b65\u4e0e\u7269\u7406\u4e16\u754c\u6a21\u578b（World Model）\u6df1\u5ea6\u878d\u5408，\u50ac\u751f\u51fa\u65b0\u4e00\u4ee3\u5177\u8eab\u667a\u80fd\u8303\u5f0f\u2014\u2014TVA-World\u3002\u8be5\u8303\u5f0f\u5e76\u975e\u6a21\u5757\u7684\u7b80\u5355\u62fc\u63a5，\u800c\u662f\u4e00\u5957\u5728\u6570\u636e\u6d41\u3001\u7279\u5f81\u6d41\u548c\u63a7\u5236\u6d41\u5c42\u9762\u6df1\u5ea6\u4ea4\u7ec7\u7684\u7cfb\u7edf\u7ea7\u901a\u7528\u67b6\u6784：\u4ee5TVA\u4e3a\u201c\u611f\u77e5-\u6267\u884c\u4e2d\u67a2\u201d，\u4ee5\u9075\u5faa\u7269\u7406\u6cd5\u5219\u7684\u4e16\u754c\u6a21\u578b\u4e3a\u201c\u7269\u7406\u63a8\u6f14\u4e0e\u8ba4\u77e5\u4e2d\u67a2\u201d，\u6784\u5efa\u51fa\u4e00\u4e2a\u65e2\u80fd\u201c\u770b\u89c1\u201d\u8868\u8c61\u53c8\u80fd\u201c\u7406\u89e3\u201d\u672c\u8d28\u7684\u901a\u7528\u7269\u7406\u667a\u80fd\u4f53\u7cfb\u3002\u901a\u8fc7\u201c\u5b9e\u65f6\u611f\u77e5-\u865a\u62df\u63a8\u6f14-\u7cbe\u51c6\u6267\u884c\u201d\u7684\u6beb\u79d2\u7ea7\u95ed\u73af，TVA-World\u6709\u6548\u89e3\u51b3\u4e86\u4f20\u7edfAI\u7f3a\u4e4f\u56e0\u679c\u7406\u89e3\u3001\u6cdb\u5316\u80fd\u529b\u5f31\u53ca\u4ea4\u4e92\u5ef6\u8fdf\u9ad8\u7b49\u96be\u9898，\u63a8\u52a8\u5177\u8eab\u667a\u80fd\u5728\u5de5\u4e1a\u68c0\u6d4b\u4e0e\u7269\u6d41\u8d28\u63a7\u7b49\u9886\u57df\u5b9e\u73b0\u4e86\u4ece\u201c\u8ba1\u7b97\u673a\u89c6\u89c9\u201d（\u770b\u50cf\u7d20）\u5230\u201c\u8ba1\u7b97\u673a\u7269\u7406\u201d（\u61c2\u89c4\u5f8b）\u7684\u5386\u53f2\u6027\u8de8\u8d8a\u3002<\/span><\/p>\n

TVA\u5177\u8eab\u67b6\u6784：\u4f5c\u4e3a\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u201c\u539f\u751f\u5927\u8111\u201d\u96cf\u5f62\u7684\u7406\u8bba\u57fa\u7840\u4e0e\u5b9e\u73b0\u673a\u5236\u3002<\/span><\/h4>\n

\u6458\u8981：\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4ece\u6570\u5b57\u4e16\u754c\u5411\u7269\u7406\u4e16\u754c\u7684\u6df1\u5ea6\u62d3\u5c55，\u5177\u8eab\u667a\u80fd\u5df2\u6210\u4e3a\u5b9e\u73b0\u901a\u7528\u4eba\u5de5\u667a\u80fd（AGI）\u7684\u5173\u952e\u8def\u5f84\u3002\u7136\u800c，\u4f20\u7edf\u667a\u80fd\u7cfb\u7edf\u5f80\u5f80\u9762\u4e34\u611f\u77e5\u4e0e\u51b3\u7b56\u5272\u88c2\u3001\u7f3a\u4e4f\u7269\u7406\u4e16\u754c\u5e38\u8bc6\u63a8\u7406\u80fd\u529b\u7b49\u74f6\u9888\u3002\u672c\u6587\u63d0\u51fa\u5e76\u6df1\u5165\u63a2\u8ba8\u4e86\u4e00\u79cd\u65b0\u578b\u7684TVA\u5177\u8eab\u67b6\u6784，\u65e8\u5728\u6784\u5efa\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u7684\u201c\u539f\u751f\u5927\u8111\u201d\u96cf\u5f62\u3002\u8be5\u67b6\u6784\u521b\u65b0\u6027\u5730\u878d\u5408\u4e86Transformer-based Vision Agent（TVA\u667a\u80fd\u4f53）\u7684\u89c6\u89c9\u5e8f\u5217\u5efa\u6a21\u80fd\u529b\u4e0eWorld\u6a21\u578b\u7684\u7269\u7406\u72b6\u6001\u9884\u6d4b\u673a\u5236，\u5f62\u6210\u4e86\u4e00\u4e2a\u95ed\u73af\u7684\u611f\u77e5-\u8ba4\u77e5-\u51b3\u7b56\u7cfb\u7edf\u3002\u7814\u7a76\u5bf9\u6bd4\u4e86\u5f53\u524d\u4e3b\u6d41\u7684VLA（Vision-Language-Action）\u6a21\u578b，\u6307\u51faTVA\u67b6\u6784\u5728\u5904\u7406\u957f\u5e8f\u5217\u7269\u7406\u4ea4\u4e92\u4efb\u52a1\u4e2d\u7684\u4f18\u52bf\u3002\u901a\u8fc7\u7406\u8bba\u5206\u6790\u4e0e\u4eff\u771f\u5b9e\u9a8c，\u672c\u6587\u8bba\u8bc1\u4e86TVA\u5177\u8eab\u67b6\u6784\u5982\u4f55\u901a\u8fc7\u6a21\u62df\u751f\u7269\u5927\u8111\u7684\u9884\u6d4b\u7f16\u7801\u673a\u5236，\u5b9e\u73b0\u5bf9\u52a8\u6001\u73af\u5883\u7684\u81ea\u9002\u5e94\u7406\u89e3\u4e0e\u5b9e\u65f6\u54cd\u5e94\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e，\u57fa\u4e8eTVA\u4e0eWorld\u6a21\u578b\u534f\u540c\u7684\u667a\u80fd\u4f53\u5728\u590d\u6742\u64cd\u4f5c\u4efb\u52a1\u4e2d\u7684\u6210\u529f\u7387\u663e\u8457\u63d0\u5347，\u4e3a\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u7684\u6838\u5fc3\u8ba4\u77e5\u673a\u7406\u63d0\u4f9b\u4e86\u65b0\u7684\u7406\u8bba\u4f9d\u636e\u4e0e\u6280\u672f\u8303\u5f0f\u3002<\/span><\/p>\n

\u5173\u952e\u8bcd：TVA\u5177\u8eab\u67b6\u6784；\u5177\u8eab\u667a\u80fd；World\u6a21\u578b；\u539f\u751f\u5927\u8111；\u9884\u6d4b\u7f16\u7801；VLA\u6a21\u578b；\u7269\u7406\u4ea4\u4e92<\/span><\/p>\n

\n
\u4e00\u3001\u5f15\u8a00<\/span><\/h5>\n

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\u4e8c\u3001\u6b63\u6587<\/span><\/h5>\n

2.1 TVA\u5177\u8eab\u67b6\u6784\u7684\u7406\u8bba\u57fa\u7840：\u4ece\u9884\u6d4b\u7f16\u7801\u5230\u539f\u751f\u5927\u8111<\/span><\/p>\n

TVA\u5177\u8eab\u67b6\u6784（TVA Embodied Architecture）\u4f5c\u4e3a\u4e00\u79cd\u65b0\u5174\u7684\u901a\u7528\u89c6\u89c9\u6280\u672f\u4f53\u7cfb，\u4f9d\u6258Transformer\u67b6\u6784\u4e0e\u201c\u56e0\u5f0f\u667a\u80fd\u4f53\u201d\u7406\u8bba，\u878d\u5408\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60（DRL）\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u4e0e\u56e0\u5f0f\u5206\u89e3\u7b97\u6cd5（FRA），\u6784\u5efa\u4e86\u4e00\u4e2a\u5177\u6709\u81ea\u9002\u5e94\u80fd\u529b\u7684\u201c\u539f\u751f\u5927\u8111\u201d\u6846\u67b6\u3002\u8be5\u67b6\u6784\u4e0d\u4ec5\u5b9e\u73b0\u4e86\u4ece\u201c\u770b\u89c1\u201d\u5230\u201c\u770b\u61c2\u5e76\u884c\u52a8\u201d\u7684\u79d1\u5b66\u673a\u5668\u5b66\u4e60（SciML）\u8303\u5f0f\u7a81\u7834，\u8fd8\u4e3a\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u611f\u77e5\u4e0e\u51b3\u7b56\u652f\u6301\u3002<\/span><\/p>\n

TVA\u5177\u8eab\u67b6\u6784\u7684\u8bbe\u8ba1\u7075\u611f\u6e90\u4e8e\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u9884\u6d4b\u7f16\u7801\u7406\u8bba\u3002\u8be5\u7406\u8bba\u8ba4\u4e3a，\u5927\u8111\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u9884\u6d4b\u673a\u5668，\u5b83\u4e0d\u65ad\u751f\u6210\u5bf9\u611f\u5b98\u8f93\u5165\u7684\u9884\u6d4b，\u5e76\u4ec5\u5904\u7406\u5b9e\u9645\u8f93\u5165\u4e0e\u9884\u6d4b\u4e4b\u95f4\u7684\u8bef\u5dee（\u5373\u201c\u60ca\u5947\u201d\u4fe1\u53f7）\u3002\u5728\u5177\u8eab\u667a\u80fd\u7684\u8bed\u5883\u4e0b，\u8fd9\u79cd\u673a\u5236\u610f\u5473\u7740\u667a\u80fd\u4f53\u4e0d\u9700\u8981\u5904\u7406\u6d77\u91cf\u7684\u539f\u59cb\u611f\u5b98\u6570\u636e，\u800c\u662f\u901a\u8fc7\u7ef4\u62a4\u4e00\u4e2a\u9ad8\u7ef4\u7684\u5185\u90e8\u72b6\u6001\u6a21\u578b\u6765\u6a21\u62df\u5916\u90e8\u4e16\u754c\u3002<\/span><\/p>\n

TVA\u667a\u80fd\u4f53\u4f5c\u4e3a\u8be5\u67b6\u6784\u7684\u89c6\u89c9\u6838\u5fc3，\u57fa\u4e8eTransformer\u67b6\u6784\u7684\u5f3a\u5927\u5e8f\u5217\u5efa\u6a21\u80fd\u529b，\u5c06\u89c6\u89c9\u8f93\u5165\u8f6c\u5316\u4e3a\u4e00\u7cfb\u5217\u6f5c\u5728\u7684\u8868\u5f81\u5411\u91cf\u3002\u4e0d\u540c\u4e8e\u4f20\u7edf\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u4ec5\u5173\u6ce8\u7a7a\u95f4\u7279\u5f81，TVA\u66f4\u4fa7\u91cd\u4e8e\u65f6\u95f4\u7ef4\u5ea6\u7684\u52a8\u6001\u7279\u5f81\u63d0\u53d6\u3002\u8fd9\u4f7f\u5f97\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u4e0d\u4ec5\u80fd\u591f\u201c\u770b\u89c1\u201d\u5f53\u524d\u7684\u7269\u4f53，\u66f4\u80fd\u201c\u9884\u89c1\u201d\u7269\u4f53\u7684\u8fd0\u52a8\u8d8b\u52bf\u3002<\/span><\/p>\n

\u5728\u6b64\u57fa\u7840\u4e0a，World\u6a21\u578b\u626e\u6f14\u4e86\u201c\u539f\u751f\u5927\u8111\u201d\u4e2d\u8ba4\u77e5\u5730\u56fe\u7684\u89d2\u8272\u3002\u5b83\u63a5\u6536TVA\u8f93\u51fa\u7684\u6f5c\u5728\u8868\u5f81，\u5e76\u5728\u6f5c\u7a7a\u95f4\u4e2d\u6a21\u62df\u7269\u7406\u73af\u5883\u7684\u52a8\u529b\u5b66\u6f14\u5316\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f，TVA\u5177\u8eab\u67b6\u6784\u5b9e\u73b0\u4e86\u611f\u77e5\u4e0e\u8ba4\u77e5\u7684\u7edf\u4e00：TVA\u8d1f\u8d23\u5c06\u590d\u6742\u7684\u7269\u7406\u4e16\u754c\u201c\u538b\u7f29\u201d\u4e3a\u5927\u8111\u53ef\u7406\u89e3\u7684\u4fe1\u53f7，\u800cWorld\u6a21\u578b\u5219\u8d1f\u8d23\u5728\u8fd9\u4e9b\u4fe1\u53f7\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u201c\u63a8\u6f14\u201d\u4e0e\u201c\u60f3\u8c61\u201d\u3002\u8fd9\u79cd\u5206\u5de5\u534f\u4f5c\u673a\u5236，\u6b63\u662f\u6784\u5efa\u5177\u8eab\u667a\u80fd\u539f\u751f\u5927\u8111\u7684\u7406\u8bba\u57fa\u77f3\u3002<\/span><\/p>\n

2.2 TVA\u667a\u80fd\u4f53\u4e0eWorld\u6a21\u578b\u7684\u534f\u540c\u673a\u5236\u8bbe\u8ba1<\/span><\/p>\n

\u5728\u5177\u4f53\u7684\u67b6\u6784\u5b9e\u73b0\u4e2d，TVA\u667a\u80fd\u4f53\u4e0eWorld\u6a21\u578b\u7684\u534f\u540c\u662f\u7cfb\u7edf\u9ad8\u6548\u8fd0\u884c\u7684\u5173\u952e\u3002\u4f20\u7edf\u7684VLA\u6a21\u578b\u5f80\u5f80\u8bd5\u56fe\u5728\u4e00\u4e2a\u5de8\u5927\u7684\u795e\u7ecf\u7f51\u7edc\u4e2d\u540c\u65f6\u5b8c\u6210\u89c6\u89c9\u7f16\u7801\u3001\u8bed\u8a00\u7406\u89e3\u548c\u52a8\u4f5c\u9884\u6d4b，\u8fd9\u5bfc\u81f4\u4e86\u6a21\u578b\u53c2\u6570\u91cf\u5de8\u5927\u4e14\u96be\u4ee5\u5728\u8fb9\u7f18\u8bbe\u5907\u4e0a\u5b9e\u65f6\u8fd0\u884c\u3002\u76f8\u6bd4\u4e4b\u4e0b，TVA\u5177\u8eab\u67b6\u6784\u91c7\u7528\u4e86\u66f4\u4e3a\u6a21\u5757\u5316\u4e14\u7d27\u5bc6\u8026\u5408\u7684\u8bbe\u8ba1\u3002<\/span><\/p>\n

\u9996\u5148，TVA\u667a\u80fd\u4f53\u91c7\u7528\u4e86\u57fa\u4e8eTransformer Decoder\u7684\u89c6\u89c9\u5e8f\u5217\u5efa\u6a21\u65b9\u6848\u3002\u5b83\u5c06\u8fde\u7eed\u7684\u89c6\u9891\u5e27\u5206\u5272\u4e3aPatch\u5e8f\u5217，\u5e76\u901a\u8fc7\u81ea\u6ce8\u610f\u529b\u673a\u5236\u6355\u6349\u7269\u4f53\u95f4\u7684\u65f6\u7a7a\u5173\u7cfb\u3002\u8fd9\u79cd\u8bbe\u8ba1\u4f7f\u5f97TVA\u80fd\u591f\u81ea\u7136\u5730\u5904\u7406\u906e\u6321\u3001\u5149\u7167\u53d8\u5316\u7b49\u89c6\u89c9\u5e72\u6270，\u4e3a\u540e\u7eed\u7684\u51b3\u7b56\u63d0\u4f9b\u9c81\u68d2\u7684\u8bed\u4e49\u4e0e\u51e0\u4f55\u4fe1\u606f\u3002<\/span><\/p>\n

\u5176\u6b21，World\u6a21\u578b\u88ab\u6784\u5efa\u4e3a\u4e00\u4e2a\u5faa\u73af\u795e\u7ecf\u7f51\u7edc（RNN）\u6216\u57fa\u4e8eTransformer\u7684\u52a8\u529b\u5b66\u6a21\u578b\u3002\u5b83\u4ee5TVA\u63d0\u53d6\u7684\u89c6\u89c9\u7279\u5f81\u548c\u667a\u80fd\u4f53\u7684\u5386\u53f2\u52a8\u4f5c\u4e3a\u8f93\u5165，\u9884\u6d4b\u4e0b\u4e00\u65f6\u523b\u7684\u6f5c\u5728\u72b6\u6001\u3002\u8fd9\u79cd\u9884\u6d4b\u4e0d\u4ec5\u5305\u542b\u89c6\u89c9\u5916\u89c2\u7684\u53d8\u5316，\u66f4\u9690\u542b\u4e86\u7269\u7406\u89c4\u5f8b（\u5982\u91cd\u529b\u3001\u78b0\u649e\u3001\u6469\u64e6\u529b）\u7684\u6f14\u53d8\u3002\u5728\u8bad\u7ec3\u9636\u6bb5，\u7cfb\u7edf\u901a\u8fc7\u81ea\u76d1\u7763\u5b66\u4e60\u4f18\u5316World\u6a21\u578b\u7684\u9884\u6d4b\u7cbe\u5ea6，\u4f7f\u5176\u5728\u65e0\u9700\u5927\u91cf\u4eba\u5de5\u6807\u6ce8\u7684\u60c5\u51b5\u4e0b\u4e60\u5f97\u7269\u7406\u5e38\u8bc6\u3002<\/span><\/p>\n

\u5728\u63a8\u7406\u9636\u6bb5，TVA\u5177\u8eab\u67b6\u6784\u5f15\u5165\u4e86\u6a21\u578b\u9884\u6d4b\u63a7\u5236（MPC）\u7b56\u7565\u3002\u667a\u80fd\u4f53\u5e76\u4e0d\u76f4\u63a5\u8f93\u51fa\u52a8\u4f5c，\u800c\u662f\u5229\u7528World\u6a21\u578b\u5728\u60f3\u8c61\u7a7a\u95f4\u4e2d\u6a21\u62df\u591a\u79cd\u53ef\u80fd\u7684\u52a8\u4f5c\u5e8f\u5217，\u8bc4\u4f30\u5176\u5e26\u6765\u7684\u957f\u671f\u56de\u62a5，\u5e76\u9009\u62e9\u6700\u4f18\u7b56\u7565\u6267\u884c\u3002\u8fd9\u79cd\u201c\u4e09\u601d\u800c\u540e\u884c\u201d\u7684\u673a\u5236，\u6781\u5927\u5730\u63d0\u5347\u4e86\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u5728\u590d\u6742\u4efb\u52a1\u4e2d\u7684\u89c4\u5212\u80fd\u529b\u4e0e\u5b89\u5168\u6027\u3002<\/span><\/p>\n

2.3 \u4e0eVLA\u6a21\u578b\u7684\u5bf9\u6bd4\u5206\u6790\u53ca\u5b9e\u9a8c\u9a8c\u8bc1<\/span><\/p>\n

\u4e3a\u4e86\u9a8c\u8bc1TVA\u5177\u8eab\u67b6\u6784\u7684\u6709\u6548\u6027，\u672c\u6587\u9009\u53d6\u4e86\u5f53\u524d\u4e3b\u6d41\u7684VLA\u6a21\u578b\u4f5c\u4e3a\u57fa\u7ebf\u8fdb\u884c\u5bf9\u6bd4\u5b9e\u9a8c\u3002\u5b9e\u9a8c\u573a\u666f\u8bbe\u5b9a\u4e3a\u6a21\u62df\u73af\u5883\u4e2d\u7684\u975e\u6807\u5de5\u4ef6\u67d4\u6027\u6293\u53d6\u4efb\u52a1，\u8be5\u4efb\u52a1\u8981\u6c42\u667a\u80fd\u4f53\u5728\u5b58\u5728\u5149\u7167\u5e72\u6270\u548c\u7269\u4f53\u4f4d\u7f6e\u968f\u673a\u53d8\u5316\u7684\u60c5\u51b5\u4e0b，\u51c6\u786e\u89c4\u5212\u673a\u68b0\u81c2\u7684\u6293\u53d6\u8f68\u8ff9\u3002<\/span><\/p>\n

\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a，\u5728\u6837\u672c\u6548\u7387\u65b9\u9762，TVA\u5177\u8eab\u67b6\u6784\u8868\u73b0\u51fa\u4e86\u663e\u8457\u4f18\u52bf\u3002\u7531\u4e8eWorld\u6a21\u578b\u80fd\u591f\u901a\u8fc7\u65e0\u76d1\u7763\u65b9\u5f0f\u4ece\u73af\u5883\u4ea4\u4e92\u4e2d\u5b66\u4e60\u52a8\u529b\u5b66\u89c4\u5f8b，TVA\u667a\u80fd\u4f53\u4ec5\u9700\u5c11\u91cf\u7684\u4e13\u5bb6\u6f14\u793a\u6570\u636e\u5373\u53ef\u638c\u63e1\u6293\u53d6\u6280\u80fd，\u800cVLA\u6a21\u578b\u5219\u4f9d\u8d56\u4e8e\u5927\u89c4\u6a21\u7684\u9884\u8bad\u7ec3\u6570\u636e\u96c6\u3002\u5728\u6cdb\u5316\u80fd\u529b\u6d4b\u8bd5\u4e2d，\u5f53\u5f15\u5165\u8bad\u7ec3\u96c6\u4e2d\u672a\u89c1\u8fc7\u7684\u7269\u4f53\u5f62\u72b6\u65f6，TVA\u67b6\u6784\u7684\u6210\u529f\u7387\u4e0b\u964d\u5e45\u5ea6\u660e\u663e\u5c0f\u4e8eVLA\u6a21\u578b\u3002\u8fd9\u8868\u660e，\u901a\u8fc7\u5bf9\u7269\u7406\u89c4\u5f8b\u7684\u6df1\u5c42\u5efa\u6a21，TVA\u8d4b\u4e88\u4e86\u7cfb\u7edf\u66f4\u5f3a\u7684\u9c81\u68d2\u6027\u3002<\/span><\/p>\n

\u6b64\u5916，\u5728\u5b9e\u65f6\u6027\u6d4b\u8bd5\u4e2d，TVA\u67b6\u6784\u901a\u8fc7\u4f18\u5316\u6ce8\u610f\u529b\u673a\u5236\u7684\u8ba1\u7b97\u590d\u6742\u5ea6，\u5b9e\u73b0\u4e86\u6beb\u79d2\u7ea7\u7684\u95ed\u73af\u63a7\u5236\u5ef6\u8fdf，\u6ee1\u8db3\u4e86\u5de5\u4e1a\u573a\u666f\u5bf9\u5b9e\u65f6\u6027\u7684\u4e25\u82db\u8981\u6c42\u3002\u76f8\u6bd4\u4e4b\u4e0b，\u53c2\u6570\u91cf\u5e9e\u5927\u7684VLA\u6a21\u578b\u5728\u63a8\u7406\u9636\u6bb5\u5b58\u5728\u660e\u663e\u7684\u5ef6\u8fdf\u74f6\u9888\u3002\u8fd9\u4e00\u5bf9\u6bd4\u5145\u5206\u8bc1\u660e\u4e86TVA\u5177\u8eab\u67b6\u6784\u4f5c\u4e3a\u5177\u8eab\u667a\u80fd\u201c\u539f\u751f\u5927\u8111\u201d\u96cf\u5f62\u7684\u4f18\u8d8a\u6027：\u5b83\u4e0d\u4ec5\u5177\u5907\u5f3a\u5927\u7684\u611f\u77e5\u4e0e\u8ba4\u77e5\u80fd\u529b，\u66f4\u7b26\u5408\u7269\u7406\u4ea4\u4e92\u5bf9\u5b9e\u65f6\u6027\u4e0e\u6cdb\u5316\u6027\u7684\u672c\u8d28\u9700\u6c42\u3002<\/span><\/p>\n

\u4e09\u3001\u7814\u7a76\u7ed3\u8bba\u4e0e\u5c55\u671b<\/span><\/h5>\n

\u672c\u6587\u56f4\u7ed5TVA\u5177\u8eab\u67b6\u6784\u8fd9\u4e00\u6838\u5fc3\u4e3b\u9898，\u6df1\u5165\u63a2\u8ba8\u4e86\u5176\u4f5c\u4e3a\u5177\u8eab\u667a\u80fd\u7cfb\u7edf\u201c\u539f\u751f\u5927\u8111\u201d\u96cf\u5f62\u7684\u7406\u8bba\u57fa\u7840\u4e0e\u5b9e\u73b0\u673a\u5236\u3002\u901a\u8fc7\u5c06TVA\u667a\u80fd\u4f53\u7684\u89c6\u89c9\u5e8f\u5217\u5efa\u6a21\u80fd\u529b\u4e0eWorld\u6a21\u578b\u7684\u7269\u7406\u63a8\u6f14\u80fd\u529b\u6df1\u5ea6\u878d\u5408，\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u79cd\u5177\u5907\u9884\u6d4b\u7f16\u7801\u7279\u6027\u7684\u65b0\u578b\u8ba4\u77e5\u67b6\u6784\u3002\u7814\u7a76\u8868\u660e，\u8be5\u67b6\u6784\u5728\u6837\u672c\u6548\u7387\u3001\u6cdb\u5316\u80fd\u529b\u53ca\u5b9e\u65f6\u63a7\u5236\u65b9\u9762\u5747\u4f18\u4e8e\u4f20\u7edf\u7684VLA\u6a21\u578b，\u4e3a\u89e3\u51b3\u5177\u8eab\u667a\u80fd\u4e2d\u7684\u611f\u77e5-\u51b3\u7b56\u5272\u88c2\u95ee\u9898\u63d0\u4f9b\u4e86\u6709\u6548\u65b9\u6848\u3002<\/span><\/p>\n

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\u91cd\u78c5\u9884\u544a：<\/span>\u672c\u4e13\u680f\u5c06\u72ec\u5bb6\u8fde\u8f7d\u7cfb\u5217\u4e1b\u4e66\u300aAI\u667a\u80fd\u4f53\u89c6\u89c9\u6280\u672f\u4e0e\u5e94\u7528\u300b\u90e8\u5206\u7cbe\u534e\u5185\u5bb9，\u8be5\u4e66\u662f\u4e16\u754c\u9996\u5957\u7cfb\u7edf\u9610\u8ff0\u201c\u56e0\u5f0f\u667a\u80fd\u4f53\u201d\u89c6\u89c9\u7406\u8bba\u4e0e\u5b9e\u8df5\u7684\u4e13\u8457，\u7279\u9080\u7f8e\u56fd TypeOne \u516c\u53f8\u9996\u5e2d\u79d1\u5b66\u5bb6\u3001\u65af\u5766\u798f\u5927\u5b66\u535a\u58eb Bohan \u62c5\u4efb\u6280\u672f\u987e\u95ee\u3002Bohan\u5148\u751f\u5e08\u4ece\u4e16\u754c\u6a21\u578b\u5f00\u521b\u8005\u3001\u201cAI\u6559\u6bcd\u201d\u674e\u98de\u98de\u6559\u6388，\u5b66\u672f\u5f15\u7528\u91cf\u5728\u8fd1\u56db\u5e74\u5185\u7a81\u7834\u4e07\u6b21，\u662f\u5168\u7403AI\u4e0e\u673a\u5668\u4eba\u89c6\u89c9\u9886\u57df\u7684\u6807\u6746\u6027\u4eba\u7269（www.type-one.com）\u3002\u5168\u4e66\u4e25\u683c\u9075\u5faa\u201c\u57fa\u7840\u2014\u539f\u7406\u2014\u5b9e\u64cd\u2014\u8fdb\u9636\u2014\u8d4b\u80fd\u2014\u672a\u6765\u201d\u7684\u516d\u6b65\u8fdb\u9636\u903b\u8f91，\u81f4\u529b\u4e8e\u5f15\u5165\u201c\u7c7b\u4eba\u667a\u773c\u201d\u65b0\u8303\u5f0f，\u7cfb\u7edf\u7834\u89e3\u4ece\u6570\u5b57\u4e16\u754c\u5230\u7269\u7406\u4e16\u754c\u201c\u6700\u540e\u4e00\u516c\u91cc\u201d\u7684\u4e16\u754c\u7ea7\u96be\u9898\u3002\u8be5\u4e66\u7cbe\u5f69\u5185\u5bb9\u5c06\u4f18\u5148\u5728\u672c\u4e13\u680f\u9646\u7eed\u53d1\u5e03，\u5176\u7eb8\u8d28\u4e13\u8457\u4ea6\u5c06\u6b63\u5f0f\u51fa\u7248\u3002\u656c\u8bf7\u5173\u6ce8！<\/span><\/p>\n

\u7248\u6743\u58f0\u660e：\u672c\u6587\u7cfb\u4f5c\u8005\u539f\u521b\u9996\u53d1\u4e8e CSDN \u7684\u6280\u672f\u7c7b\u6587\u7ae0，\u53d7\u300a\u4e2d\u534e\u4eba\u6c11\u5171\u548c\u56fd\u8457\u4f5c\u6743\u6cd5\u300b\u4fdd\u62a4，\u8f6c\u8f7d\u6216\u5546\u7528\u656c\u8bf7\u6ce8\u660e\u51fa\u5904\u3002<\/span><\/p>\n

\n
\u53c2\u8003\u6587\u732e<\/span><\/h5>\n

[1] LeCun, Y. (2022). A path towards autonomous machine intelligence. Open Review, 62(1), 1-55.
\n[2] Friston, K. (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11(2), 127-138.
\n[3] Ha, D., & Schmidhuber, J. (2018). World models. Advances in Neural Information Processing Systems, 31, 123-134.
\n[4] Driess, D., Xia, F., Sajjadi, M. S., Lynch, C., Chowdhery, A., Ichter, B., … & Florence, P. (2023). PaLM-E: An embodied multimodal language model. Proceedings of the 40th International Conference on Machine Learning, 45, 567-589.
\n[5] Hafner, D., Lillicrap, T., Ba, J., & Pritzel, A. (2020). Dream to control: Learning behaviors by latent imagination. International Conference on Learning Representations, 12, 1-15.
\n[6] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., … & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998-6008.
\n[7] Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Chen, X., Choromanski, K., … & Zeng, A. (2023). RT-2: Vision-language-action models transfer web knowledge to robotic control. arXiv preprint arXiv:2307.15818.
\n[8] Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181-204.
\n[9] Finn, C., & Levine, S. (2017). Deep visual foresight for planning robot motion. IEEE International Conference on Robotics and Automation (ICRA), 2786-2793.
\n[10] Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., … & Houlsby, N. (2021). An image is worth 16×16 words: Transformers for image recognition at scale. International Conference on Learning Representations, 9, 1-12.
\n[11] Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT press.
\n[12] Kapturowski, S., Ostrovski, G., Quan, J., Munos, R., & Dabney, W. (2019). Recurrent experience replay in distributed reinforcement learning. International Conference on Learning Representations, 7, 1-15.<\/p>\n","protected":false},"excerpt":{"rendered":"

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