{"id":59600,"date":"2025-05-12T18:10:23","date_gmt":"2025-05-12T10:10:23","guid":{"rendered":"https:\/\/swarma.org\/?p=59600"},"modified":"2025-05-12T18:10:23","modified_gmt":"2025-05-12T10:10:23","slug":"%e4%ba%ba%e7%b1%bb%e4%b8%8e%e6%9c%ba%e5%99%a8%e7%9a%84%e6%99%ba%e6%85%a7%e7%a2%b0%e6%92%9e%ef%bc%9a%e4%ba%ba%e6%9c%ba%e5%8d%8f%e5%90%8c%e7%9a%84%e6%99%ba%e8%83%bd%e6%97%b6%e4%bb%a3%e8%af%bb%e4%b9%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=59600","title":{"rendered":"\u4eba\u7c7b\u4e0e\u673a\u5668\u7684\u667a\u6167\u78b0\u649e\uff1a\u4eba\u673a\u534f\u540c\u7684\u667a\u80fd\u65f6\u4ee3\u8bfb\u4e66\u4f1a\u542f\u52a8"},"content":{"rendered":"
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1. \u4eba\u7c7b\u667a\u80fd\u4e0e\u673a\u5668\u667a\u80fd\u7684\u81ea\u4e3b\u6027\uff1a\u4eba\u7c7b\u667a\u80fd\u548c\u673a\u5668\u667a\u80fd\u5404\u81ea\u7684\u4f18\u52bf\u6709\u54ea\u4e9b\uff1f\u667a\u80fd\u8fb9\u754c\u5982\u4f55\uff1f<\/span><\/span><\/p>\n

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3. \u4eba\u7c7b\u4e0e\u673a\u5668\u7684\u6709\u6548\u534f\u4f5c\uff1a\u5982\u4f55\u8bbe\u8ba1\u66f4\u52a0\u9ad8\u6548\u7684\u4eba\u673a\u534f\u4f5c\u7cfb\u7edf\uff0c\u4f7f\u5f97\u4eba\u7c7b\u7684\u77e5\u8bc6\u80fd\u591f\u6700\u5927\u9650\u5ea6\u5730\u63d0\u5347\u673a\u5668\u5b66\u4e60\u7684\u6548\u679c\uff1f\u5982\u4f55\u9488\u5bf9\u4e0d\u540c\u7684\u4efb\u52a1\u573a\u666f\uff08\u5982\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\uff09\u548c\u4e0d\u540c\u7684\u6a21\u578b\uff08\u5982\u5927\u8bed\u8a00\u6a21\u578b\uff09\u5b9e\u73b0\u9ad8\u6548\u53ef\u9760\u7684\u4eba\u673a\u534f\u4f5c\uff1f<\/span><\/span><\/p>\n

4. \u7cfb\u7edf\u7684\u81ea\u9002\u5e94\u4e0e\u72ec\u7acb\u6027\uff1a\u5982\u4f55\u8bbe\u8ba1\u80fd\u591f\u72ec\u7acb\u8fd0\u4f5c\u4e14\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u9ad8\u6548\u534f\u4f5c\u7684\u7cfb\u7edf\uff1f<\/span><\/span><\/p>\n

5. \u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u4eba\u673a\u534f\u540c\uff1a\u5728\u4eba\u673a\u534f\u540c\u4e2d\uff0c\u5982\u4f55\u63d0\u9ad8\u673a\u5668\u51b3\u7b56\u7684\u53ef\u89e3\u91ca\u6027\u4e0e\u900f\u660e\u6027\uff0c\u786e\u4fdd\u7cfb\u7edf\u7684\u53ef\u4fe1\u5ea6\uff1f\u5982\u4f55\u901a\u8fc7\u591a\u6a21\u6001\u534f\u4f5c\u5c06\u89c6\u89c9\u3001\u8bed\u8a00\u7b49\u4e0d\u540c\u611f\u77e5\u901a\u9053\u878d\u5408\uff0c\u4ee5\u5e94\u5bf9\u590d\u6742\u7684\u51b3\u7b56\u4efb\u52a1\uff1f<\/span><\/span><\/p>\n


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\u62a5\u540d\u53c2\u4e0e\u8bfb\u4e66\u4f1a<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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\u8fd0\u884c\u6a21\u5f0f<\/span><\/span><\/h3>\n
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\u53c2\u4e0e\u65b9\u5f0f<\/span><\/span><\/strong><\/h3>\n

\u6b64\u6b21\u8bfb\u4e66\u4f1a\u91c7\u7528\u662f\u817e\u8baf\u4f1a\u8bae\u7ebf\u4e0a\u8fdb\u884c\uff08\u8bf7\u63d0\u524d\u4e0b\u8f7d\u5b89\u88c5\uff09\u3002<\/span><\/span>\u5728\u626b\u7801\u5b8c\u6210\u62a5\u540d\u5e76\u6dfb\u52a0\u8d1f\u8d23\u4eba\u5fae\u4fe1\u540e\uff0c\u8d1f\u8d23\u4eba\u4f1a\u5c06\u60a8\u62c9\u5165\u4ea4\u6d41\u793e\u533a\uff08\u5fae\u4fe1\u7fa4\uff09\uff0c\u5165\u7fa4\u540e\u544a\u77e5\u5177\u4f53\u7684\u4f1a\u8bae\u53f7\u7801\u3002<\/span><\/span><\/strong><\/p>\n


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\u62a5\u540d\u65b9\u5f0f<\/span><\/span><\/strong><\/h3>\n

\u7b2c\u4e00\u6b65\uff1a\u626b\u7801\u586b\u5199\u62a5\u540d\u4fe1\u606f\u3002<\/span><\/span><\/p>\n

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\u7b2c\u4e8c\u6b65\uff1a\u586b\u5199\u4fe1\u606f\u540e\uff0c\u4ed8\u8d39299\u5143\uff08\u53ef\u5f00\u53d1\u7968\uff09\u3002<\/span><\/span><\/p>\n

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https:\/\/pattern.swarma.org\/study_group\/62<\/span><\/span><\/em><\/p>\n

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<\/span><\/h3>\n

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\u5b8c\u6574\u6743\u9650\uff0c\u5305\u62ec<\/span><\/span>\u7ebf\u4e0a\u95ee\u7b54\u3001\u5f55\u64ad\u56de\u770b\u3001\u8d44\u6599\u5171\u4eab\u3001\u793e\u7fa4\u4ea4\u6d41\u3001\u4fe1\u606f\u540c\u6b65\u3001\u5171\u521b\u4efb\u52a1\u83b7\u53d6\u79ef\u5206\u7b49<\/span><\/span><\/strong>\u3002<\/span><\/span><\/p>\n

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<\/span><\/h3>\n

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\u9605\u8bfb\u8d44\u6599<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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\u8bfb\u4e66\u4f1a\u6587\u732e\u9605\u8bfb\u6e05\u5355<\/span><\/span><\/p>\n


<\/span><\/h3>\n

\u81ea\u4e3b\u6027\u7406\u8bba\u4e0e\u65b9\u6cd5<\/span><\/span><\/h3>\n

1. \u672c\u4e66\u9996\u5148\u8ba8\u8bba\u4e86\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u4eba\u673a\u7cfb\u7edf\u7684\u65b0\u53d1\u5c55\uff0c\u7136\u540e\u5206\u522b\u4ecb\u7ecd\u4eba\u673a\u6df7\u5408\u667a\u80fd\u7cfb\u7edf\u7684\u81ea\u4e3b\u6027\u57fa\u672c\u7406\u8bba\u548c\u8bbe\u8ba1\u65b9\u6cd5\uff0c\u6db5\u76d6\u4e86\u4eba\u673a\u6df7\u5408\u667a\u80fd\u7cfb\u7edf\u7684<\/span><\/span>\u81ea\u4e3b\u6027\u5b9a\u4e49\u3001\u8fb9\u754c\u5224\u5b9a\u3001\u5404\u79cd\u4ecb\u5165\u63a7\u5236\u548c\u5171\u4eab\u63a7\u5236\u65b9\u6cd5<\/span><\/span><\/strong>\u7b49\u91cd\u8981\u5185\u5bb9\u3002<\/span><\/span><\/h3>\n

\u8d75\u4e91\u6ce2, & \u5eb7\u5b87. (2021). \u4eba\u673a\u6df7\u5408\u667a\u80fd\u7cfb\u7edf\u81ea\u4e3b\u6027\u7406\u8bba\u548c\u65b9\u6cd5. \u79d1\u5b66\u51fa\u7248\u793e.<\/span><\/span><\/p>\n

2. \u968f\u7740\u4eba\u5de5\u667a\u80fd\u5728\u519b\u4e8b\u884c\u52a8\u4e2d\u7684\u5e94\u7528\u9010\u6e10\u6df1\u5165\uff0c\u4eba\u7c7b\u4e0e\u81ea\u4e3b\u7cfb\u7edf\u4e4b\u95f4\u7684\u4fe1\u4efb\u5173\u7cfb\u5c06\u53d8\u5f97\u66f4\u52a0\u590d\u6742\u3002\u9002\u5f53\u7684\u4fe1\u4efb\u6821\u51c6\u5bf9\u4e8e\u786e\u4fdd\u6709\u6548\u7684\u5408\u4f5c\u81f3\u5173\u91cd\u8981\uff0c\u7279\u522b\u662f\u5728<\/span><\/span>\u6570\u636e\u5206\u6790\u3001\u81ea\u4e3b\u7cfb\u7edf\u548c\u51b3\u7b56\u652f\u6301<\/span><\/span><\/strong>\u7b49\u9886\u57df\u3002\u5728\u672a\u6765\u7684\u519b\u4e8b\u884c\u52a8\u4e2d\uff0c\u5982\u4f55\u5e73\u8861\u4fe1\u4efb\u4e0e\u63a7\u5236\u3001\u72ec\u7acb\u6027\u4e0e\u5408\u4f5c\uff0c\u5c06\u6210\u4e3a\u51b3\u5b9a\u6280\u672f\u5e94\u7528\u6210\u529f\u4e0e\u5426\u7684\u5173\u952e\u3002<\/span><\/span><\/p>\n

Michael Mayer (2023) Trusting machine intelligence: artificial intelligence and human-autonomy teaming in military operations, Defense & Security Analysis, 39:4, 521-538, DOI: 10.1080\/14751798.2023.2264070<\/span><\/span><\/p>\n

3. \u672c\u6587\u5bf9\u672a\u6765\u822a\u7a7a\u519b\u4e8b\u9886\u57df\u7684\u53d1\u5c55\u8d8b\u52bf\u2014\u2014\u4eba\u673a\u6df7\u5408\u667a\u80fd\u6280\u672f\u8fdb\u884c\u4e86\u9610\u8ff0\u3002\u4eba\u673a\u6df7\u5408\u667a\u80fd\u6280\u672f\u662f\u5f53\u524d\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u91cd\u8981\u7814\u7a76\u65b9\u5411,<\/span><\/span>\u9488\u5bf9\u822a\u7a7a\u519b\u4e8b\u9886\u57df\u7684\u5178\u578b\u95ee\u9898<\/span><\/span><\/strong>,\u672c\u6587\u63d0\u51fa\u4e86\u8fd0\u7528\u4eba\u673a\u6df7\u5408\u667a\u80fd\u6280\u672f\u89e3\u51b3<\/span><\/span>\u672a\u6765\u7a7a\u6218\u4e2d\u611f\u77e5\u3001\u5224\u65ad\u3001\u51b3\u7b56\u548c\u6267\u884c\u95ee\u9898\u7684\u57fa\u672c\u89e3\u51b3\u65b9\u6848<\/span><\/span><\/strong>,\u6700\u540e\u5bf9\u4eba\u673a\u6df7\u5408\u667a\u80fd\u7684\u672a\u6765\u53d1\u5c55\u8fdb\u884c\u4e86\u5c55\u671b\u3002<\/span><\/span><\/p>\n

Deng Pingyu\uff0cQiu Xuyi\uff0cYao Ziyu.Human-machine hybrid intelligence technology in military aviation field\uff3bJ\uff3d.Aeronautical Science & Technology\uff0c2020\uff0c31\uff0810\uff09\uff1a3-6.\u9093\u5e73\u715c\uff0c\u88d8\u65ed\u76ca\uff0c\u59da\u5b50\u7fbd.\u822a\u7a7a\u519b\u4e8b\u9886\u57df\u7684\u4eba\u673a\u6df7\u5408\u667a\u80fd\u6280\u672f\uff3bJ\uff3d.\u822a\u7a7a\u79d1\u5b66\u6280\u672f\uff0c2020\uff0c31\uff0810\uff09\uff1a3-6.<\/span><\/span><\/p>\n


<\/span><\/h3>\n

\u6570\u636e\u4e0e\u6a21\u578b\u4e2d\u7684\u4eba\u673a\u534f\u540c<\/span><\/span><\/h3>\n

1. <\/span>\u7efc\u8ff0\uff1aHuman in the Loop<\/span><\/span>\uff08\u4eba\u5728\u73af\uff0cHITL\uff09\u7684\u76ee\u6807\u662f<\/span><\/span>\u6574\u5408\u4eba\u7c7b\u7684\u77e5\u8bc6\u548c\u7ecf\u9a8c<\/span><\/span><\/strong>\uff0c\u4ee5<\/span><\/span>\u6700\u5c0f\u7684\u6210\u672c<\/span><\/span><\/strong>\u8bad\u7ec3\u51fa\u51c6\u786e\u7684\u9884\u6d4b\u6a21\u578b\u3002\u672c\u6587\u4ece\u6570\u636e\u7684\u89d2\u5ea6\u5bf9\u73b0\u6709\u7684\u5173\u4e8eHuman in the Loop\uff08\u4eba\u5728\u73af\uff0cHITL\uff09\u7684\u5de5\u4f5c\u8fdb\u884c\u4e86\u8003\u5bdf\uff0c\u5e76\u5c06\u5176\u5206\u4e3a\u4e09\u4e2a\u5177\u6709\u9012\u8fdb\u5173\u7cfb\u7684\u7c7b\u522b:(1)\u901a\u8fc7<\/span><\/span>\u6570\u636e\u5904\u7406<\/span><\/span><\/strong>\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u7684\u5de5\u4f5c;(2)\u901a\u8fc7<\/span><\/span>\u4ecb\u5165\u6a21\u578b\u8bad\u7ec3<\/span><\/span><\/strong>\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u7684\u5de5\u4f5c;(3)<\/span><\/span>\u72ec\u7acbHITL\u7cfb\u7edf\u8bbe\u8ba1<\/span><\/span><\/strong>\uff0c\u603b\u7ed3\u7efc\u8ff0\u4e86\u8be5\u9886\u57df\u7684\u4e3b\u8981\u65b9\u6cd5\u3002<\/span><\/span><\/h3>\n

Wu X, Xiao L, Sun Y, et al. A survey of human-in-the-loop for machine learning[J]. Future Generation Computer Systems, 2022, 135: 364-381.<\/span><\/span><\/p>\n

2. \u6570\u636e\u6574\u5408\u7684\u76ee\u7684\u662f\u5c06\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u6574\u5408\u8d77\u6765\uff0c\u7136\u800c\uff0c\u6570\u636e\u6574\u5408\u4e0d\u80fd\u5b8c\u5168\u4f9d\u8d56\u4e8e\u81ea\u52a8\u5316\u65b9\u6cd5\u6765\u89e3\u51b3\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u6df7\u5408\u7684<\/span><\/span>\u4eba\u673a\u6570\u636e\u6574\u5408\u6846\u67b6<\/span><\/span><\/strong>\uff0c\u9996\u5148\u4f7f\u7528<\/span><\/span>\u57fa\u4e8e\u89c4\u5219\u7684\u7b97\u6cd5<\/span><\/span><\/strong>\u6765<\/span><\/span>\u8bc6\u522b\u53ef\u80fd\u7684\u5339\u914d\u5bf9<\/span><\/span><\/strong>\uff0c\u7136\u540e\u57fa\u4e8e\u9009\u62e9-\u63a8\u7406-\u9a8c\u8bc1\u6846\u67b6\uff0c\u901a\u8fc7<\/span><\/span>\u4eba\u7c7b\u7fa4\u4f53\u8fdb\u4e00\u6b65\u9a8c\u8bc1\u8fd9\u4e9b\u5019\u9009\u5339\u914d\u5bf9<\/span><\/span><\/strong>\uff0c\u4ece\u800c\u786e\u5b9a\u5b9e\u9645\u7684\u5339\u914d\u5bf9\uff0c\u5feb\u901f\u4e14\u51c6\u786e\u5730\u5b8c\u6210\u6570\u636e\u5339\u914d\u548c\u9a8c\u8bc1\u5de5\u4f5c\u3002<\/span><\/span><\/p>\n

Li G. Human-in-the-loop data integration[J]. Proceedings of the VLDB Endowment, 2017, 10(12): 2006-2017.<\/span><\/span><\/p>\n

3. \u4ecb\u7ecd\u4e86<\/span><\/span>\u4eba\u673a\u534f\u4f5c\u6280\u672f\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5e94\u7528<\/span><\/span><\/strong>\uff0c\u5177\u4f53\u63a2\u8ba8\u4e86\u4eba\u7c7b\u5728\u6570\u636e\u9884\u5904\u7406\u3001\u6570\u636e\u6807\u6ce8\u3001\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u7b49\u673a\u5668\u5b66\u4e60\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u89d2\u8272\u3002\u4eba\u7c7b\u4e0d\u4ec5\u80fd\u4e3a\u673a\u5668\u5b66\u4e60\u5e94\u7528\u63d0\u4f9b\u8bad\u7ec3\u6570\u636e\uff0c\u8fd8\u80fd\u901a\u8fc7\u673a\u5668\u8f85\u52a9\u7684\u65b9\u5f0f\u76f4\u63a5\u5b8c\u6210\u4e00\u4e9b\u673a\u5668\u96be\u4ee5\u5b8c\u6210\u7684\u4efb\u52a1\uff0c\u5982\u6570\u636e\u6574\u5408\u3001\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u6807\u6ce8\u3001\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u7b49\u3002<\/span><\/span><\/p>\n

Chai C, Li G. Human-in-the-loop Techniques in Machine Learning[J]. IEEE Data Eng. Bull., 2020, 43(3): 37-52.<\/span><\/span><\/p>\n

4. \u8fc7\u53bb\u7684\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u4e8eLLM\u672c\u8eab\uff0c\u800c\u5f88\u5c11\u63a2\u7d22<\/span><\/span>\u4eba\u7c7b\u5728LLM\u63a8\u7406\u8fc7\u7a0b\u4e2d\u7684\u5e72\u9884\u4f5c\u7528<\/span><\/span><\/strong>\u3002\u672c\u7814\u7a76\u63d0\u51fa\u7684\u65b9\u6cd5\u901a\u8fc7\u4eba\u673a\u534f\u4f5c\u4f18\u5316\u4e86<\/span><\/span>\u673a\u5668\u7ffb\u8bd1\u8fc7\u7a0b<\/span><\/span><\/strong>\uff0c\u7279\u522b\u662f\u5728\u7279\u5b9a\u9886\u57df\u7ffb\u8bd1\u4e2d\u8868\u73b0\u51fa\u8f83\u5f3a\u7684\u4f18\u52bf\u3002\u901a\u8fc7\u4eba\u7c7b\u53cd\u9988\u548c\u81ea\u52a8\u68c0\u7d22\u7cfb\u7edf\u7684\u7ed3\u5408\uff0cLLM\u80fd\u591f\u66f4\u52a0\u7cbe\u51c6\u5730\u751f\u6210\u7ffb\u8bd1\u7ed3\u679c\uff0c\u63d0\u5347\u4e86\u7ffb\u8bd1\u8d28\u91cf\u3002<\/span><\/span><\/p>\n

Yang X, Zhan R, Wong D F, et al. Human-in-the-loop machine translation with large language model[J]. arXiv preprint arXiv:2310.08908, 2023.<\/span><\/span><\/p>\n

5. \u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd<\/span><\/span>\u4eba\u673a\u534f\u4f5c\u7684\u5c0f\u6837\u672c\u5b66\u4e60\u65b9\u6cd5<\/span><\/span><\/strong>\uff0c\u65e8\u5728\u5e94\u5bf9\u5c0f\u6837\u672c\u5b66\u4e60\u4e2d\u51fa\u73b0\u7684\u5206\u5e03\u5916\uff08OOD\uff09\u6837\u672c\u95ee\u9898\u3002\u7531\u4e8e\u6709\u9650\u7684\u8bad\u7ec3\u6837\u672c\u96be\u4ee5\u5145\u5206\u53cd\u6620\u65b0\u7c7b\u522b\u6837\u672c\u7684\u6709\u6548\u6027\uff0c\u6d4b\u8bd5\u9636\u6bb5\u53ef\u80fd\u4f1a\u51fa\u73b0<\/span><\/span>\u4e0e\u5df2\u6709\u6570\u636e\u5dee\u5f02\u8f83\u5927\u7684\u5f02\u8d28\u6837\u672c<\/span><\/span><\/strong>\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u672c\u6587\u5728\u5c0f\u6837\u672c\u5b66\u4e60\u7cfb\u7edf\u4e2d\u5f15\u5165\u4e86<\/span><\/span>\u4e0d\u786e\u5b9a\u6027\u8bc4\u4f30\u6a21\u5757<\/span><\/span><\/strong>\uff0c\u5b9e\u65f6\u68c0\u6d4bOOD\u6837\u672c\u5e76\u5c06\u5176\u4ea4\u7ed9<\/span><\/span>\u4eba\u7c7b\u8fdb\u884c\u4e3b\u52a8\u6807\u6ce8<\/span><\/span><\/strong>\u3002<\/span><\/span><\/p>\n

Wan S, Hou Y, Bao F, et al. Human-in-the-loop low-shot learning[J]. IEEE transactions on neural networks and learning systems, 2020, 32(7): 3287-3292.<\/span><\/span><\/p>\n

6. \u672c\u6587\u63d0\u51fa\u7684\u4eba\u673a\u534f\u4f5c\u7684\u5bf9\u8bdd\u5b66\u4e60\u65b9\u6cd5\uff0c\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u6846\u67b6\u8ba9\u5bf9\u8bdd\u667a\u80fd\u4f53\u901a\u8fc7\u4e0e\u4eba\u7c7b\u4e92\u52a8\u83b7\u53d6\u53cd\u9988\uff0c\u8fdb\u800c\u63d0\u5347\u95ee\u7b54\u80fd\u529b\u3002\u6a21\u62df\u73af\u5883\u548c\u5b9e\u9645\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u7684\u53ef\u884c\u6027\uff0c\u5e76\u4e3a\u672a\u6765\u667a\u80fd\u5bf9\u8bdd\u7cfb\u7edf\u7684\u81ea\u6211\u5b66\u4e60\u548c\u4f18\u5316\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\u3002<\/span><\/span><\/p>\n

Li J, Miller A H, Chopra S, et al. Dialogue learning with human-in-the-loop[J]. arXiv preprint arXiv:1611.09823, 2016.<\/span><\/span><\/p>\n

7. \u8fd9\u7bc7\u8bba\u6587\u56de\u987e\u4e86\u4eba\u5728\u73af\u5b66\u4e60\u9886\u57df\u7684\u524d\u6cbf\u6280\u672f\uff0c\u6df1\u5165\u63a2\u8ba8\u4e86\u65b0\u578b\u7684<\/span><\/span>\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u4ea4\u4e92\u5173\u7cfb\u7684\u5177\u4f53\u65b9\u5f0f<\/span><\/span><\/strong>\uff0c\u5305\u62ec\u4e3b\u52a8\u5b66\u4e60\u3001\u4ea4\u4e92\u5f0f\u673a\u5668\u5b66\u4e60\u3001\u673a\u5668\u6559\u5b66\u3001\u8bfe\u7a0b\u5b66\u4e60\u3001<\/span><\/span>\u53ef\u89e3\u91ca\u4eba\u5de5\u667a\u80fd<\/span><\/span><\/strong>\u7b49\u3002\u6587\u7ae0\u4e0d\u4ec5\u4ec5\u5217\u4e3e\u4e86\u4e0d\u540c\u7684<\/span><\/span>\u7814\u7a76\u65b9\u6cd5<\/span><\/span><\/strong>\uff0c\u8fd8\u5b9a\u4e49\u548c\u6f84\u6e05\u4e86\u4e00\u4e9b\u6df7\u4e71\u3001\u4e0d\u540c\u751a\u81f3\u6709\u65f6\u76f8\u4e92\u77db\u76fe\u7684<\/span><\/span>\u672f\u8bed<\/span><\/span><\/strong>\uff1b\u660e\u786e\u4e86\u4e0d\u540c\u65b9\u6cd5\u4e4b\u95f4\u7684\u754c\u9650\uff1b\u5e76\u901a\u8fc7\u5173\u8054\u8fd9\u4e9b\u6280\u672f\uff0c\u63a2\u7d22\u5b83\u4eec\u4e4b\u95f4\u7684\u8054\u7cfb\u548c\u76f8\u4e92\u5f71\u54cd\u3002<\/span><\/span><\/p>\n

Mosqueira-Rey E, Hern\u00e1ndez-Pereira E, Alonso-R\u00edos D, et al. Human-in-the-loop machine learning: a state of the art[J]. Artificial Intelligence Review, 2023, 56(4): 3005-3054.<\/span><\/span><\/p>\n

8. \u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u5df2\u6210\u4e3a\u673a\u5668\u4eba\u6280\u672f\u4e2d\u4e00\u79cd\u6d41\u884c\u7684\u5b66\u4e60\u65b9\u6cd5\uff0c\u4f46\u5728\u9762\u5bf9\u590d\u6742\u4efb\u52a1\u65f6\uff0c\u8bbe\u8ba1\u8db3\u591f\u4fe1\u606f\u91cf\u7684\u5956\u52b1\u51fd\u6570\u4ecd\u7136\u662f\u4e00\u5927\u6311\u6218\u3002\u4f20\u7edf\u7684\u57fa\u4e8e\u5956\u52b1\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\uff0c\u901a\u5e38\u8981\u6c42\u4eba\u5de5\u8bbe\u8ba1\u660e\u786e\u7684\u5956\u52b1\u51fd\u6570\uff0c\u8fd9\u6837\u53ef\u80fd\u4f1a\u5bfc\u81f4\u7cfb\u7edf\u65e0\u6cd5\u5b8c\u5168\u7406\u89e3\u6216\u8868\u8fbe\u4efb\u52a1\u4e2d\u7684\u4eba\u7c7b\u504f\u597d\u548c\u671f\u671b\u3002<\/span><\/span>\u504f\u597d\u5b66\u4e60<\/span><\/span><\/strong>\uff08Preference-based RL\uff09\u7b97\u6cd5\u76f4\u63a5<\/span><\/span>\u901a\u8fc7\u4eba\u7c7b\u53cd\u9988\u6765\u5b66\u4e60\u5956\u52b1\u51fd\u6570<\/span><\/span><\/strong>\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u504f\u597d\u5b66\u4e60\u65b9\u6cd5\u4e5f\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\uff1a\u4e00\u65b9\u9762\uff0c\u5b83\u4eec\u901a\u5e38\u9700\u8981\u8fc7\u591a\u7684\u67e5\u8be2\u91cf\u6210\u672c\u5f88\u9ad8\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u6709\u4e9b\u65b9\u6cd5\u8fc7\u4e8e\u9650\u5236\u4e86\u5956\u52b1\u51fd\u6570\u7684\u79cd\u7c7b\uff0c\u5bfc\u81f4\u65e0\u6cd5\u5728\u590d\u6742\u7684\u673a\u5668\u4eba\u4efb\u52a1\u4e2d\u5b9e\u73b0\u8db3\u591f\u7684\u8868\u8fbe\u529b\u3002\u8fd9\u7bc7\u7814\u7a76\u5c06\u504f\u597d\u5b66\u4e60\u95ee\u9898\u4ece<\/span><\/span>\u4f20\u7edf\u7684\u67e5\u8be2\u6700\u5c0f\u5316<\/span><\/span><\/strong>\u8f6c\u53d8\u4e3a<\/span><\/span>\u591a\u4efb\u52a1\u5b66\u4e60\u7684\u6269\u5c55<\/span><\/span><\/strong>\uff0c\u4f7f\u5f97\u673a\u5668\u4eba\u80fd\u591f\u5728\u66f4\u5c11\u7684\u6570\u636e\u91cf\u548c\u53cd\u9988\u4e0b\uff0c\u5b8c\u6210\u66f4\u590d\u6742\u7684\u64cd\u4f5c\u4efb\u52a1\u3002<\/span><\/span><\/p>\n

Hejna III D J, Sadigh D. Few-shot preference learning for human-in-the-loop rl[C]\/\/Conference on Robot Learning. PMLR, 2023: 2014-2025.<\/span><\/span><\/p>\n


<\/span><\/h3>\n

\u4ea4\u53c9\u9886\u57df\u7684\u4eba\u673a\u534f\u540c<\/span><\/span><\/h3>\n

1. \u672c\u7efc\u8ff0\u63a2\u8ba8\u4e86\u6df1\u5ea6\u5b66\u4e60\u5728<\/span><\/span>\u533b\u5b66\u56fe\u50cf\u5206\u6790<\/span><\/span><\/strong>\u4e2d\u7684\u5e94\u7528\uff0c\u7279\u522b\u662f\u5f3a\u8c03\u4e86\u4eba\u7c7b\u7684\u53c2\u4e0e\u5728\u786e\u4fdd\u6a21\u578b\u5b89\u5168\u6027\u548c\u51c6\u786e\u6027\u65b9\u9762\u7684\u91cd\u8981\u6027\u3002\u6587\u7ae0\u91cd\u70b9\u8bc4\u4f30\u4e86\u56db\u4e2a\u5173\u952e\u9886\u57df\uff1a1) <\/span><\/span>\u4e3b\u52a8\u5b66\u4e60<\/span><\/span><\/strong>\uff0c\u901a\u8fc7\u9009\u62e9\u6700\u6709\u4ef7\u503c\u7684\u6807\u6ce8\u6570\u636e\u6765\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\uff1b2) <\/span><\/span>\u4e0e\u6a21\u578b\u8f93\u51fa\u7684\u4ea4\u4e92<\/span><\/span><\/strong>\uff0c\u901a\u8fc7<\/span><\/span>\u8fed\u4ee3\u53cd\u9988\u4f18\u5316\u6a21\u578b\u9884\u6d4b\u548c\u63d0\u4f9b\u53ef\u89e3\u91ca\u6027<\/span><\/span><\/strong>\uff1b3) <\/span><\/span>\u5b9e\u9645\u5e94\u7528<\/span><\/span><\/strong>\u8003\u8651\uff0c\u5305\u62ec\u6570\u636e\u9690\u79c1\u3001\u7cfb\u7edf\u517c\u5bb9\u6027\u548c\u7a33\u5b9a\u6027\u7b49\u95ee\u9898\uff1b4) \u672a\u6765\u5c55\u671b\uff0c\u63a2\u8ba8\u4e86\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u548c\u4eba\u673a\u534f\u4f5c\u4e2d\u7684\u77e5\u8bc6\u7a7a\u767d\u3002<\/span><\/span><\/h3>\n

Budd S, Robinson E C, Kainz B. A survey on active learning and human-in-the-loop deep learning for medical image analysis[J]. Medical image analysis, 2021, 71: 102062.<\/span><\/span><\/p>\n

2. \u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u540d\u4e3a CPR Tutor \u7684<\/span><\/span>\u5b9e\u65f6\u591a\u6a21\u6001\u53cd\u9988\u7cfb\u7edf<\/span><\/span><\/strong>\uff0c\u65e8\u5728\u4e3a\u5fc3\u80ba\u590d\u82cf\uff08CPR\uff09\u57f9\u8bad\u63d0\u4f9b\u5e2e\u52a9\u3002CPR Tutor \u4f7f\u7528<\/span><\/span>\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09<\/span><\/span><\/strong>\u6765\u68c0\u6d4b\u8bad\u7ec3\u4e2d\u7684\u9519\u8bef\uff0c\u5e76\u6839\u636e\u4e94\u4e2aCPR\u8868\u73b0\u6307\u6807\u81ea\u52a8\u8bc6\u522b\u548c\u8bc4\u4f30\u80f8\u90e8\u6309\u538b\u7684\u8d28\u91cf\u3002\u8be5\u7cfb\u7edf\u901a\u8fc7\u5206\u6790<\/span><\/span>\u5305\u542b\u8fd0\u52a8\u5b66\u6570\u636e\u548c\u808c\u7535\u56fe\u6570\u636e\u7684\u591a\u6a21\u6001\u6570\u636e\u6d41<\/span><\/span><\/strong>\uff0c\u5b9e\u65f6\u68c0\u6d4b\u8bad\u7ec3\u4e2d\u7684\u9519\u8bef\u3002\u6839\u636e\u8fd9\u4e9b\u8bc4\u4f30\u7ed3\u679c\uff0cCPR Tutor \u4f1a\u63d0\u4f9b\u8bed\u97f3\u53cd\u9988\uff0c\u4ee5\u7ea0\u6b63\u6700\u5173\u952e\u7684\u9519\u8bef\uff0c\u5e76\u6539\u8fdbCPR\u8868\u73b0\u3002<\/span><\/span><\/p>\n

Di Mitri D, Schneider J, Drachsler H. Keep me in the loop: Real-time feedback with multimodal data[J]. International Journal of Artificial Intelligence in Education, 2022, 32(4): 1093-1118.<\/span><\/span><\/p>\n

3. \u6f14\u5316\u827a\u672f\uff08Evolutionary Art\uff09\u662f\u6f14\u5316\u8ba1\u7b97\uff08Evolutionary Computing\uff09\u4e2d\u7684\u4e00\u4e2a\u5b50\u9886\u57df\uff0c\u65e8\u5728\u901a\u8fc7\u6f14\u5316\u6280\u672f\u521b\u9020\u51fa\u5177\u6709\u827a\u672f\u6027\u548c\u7f8e\u5b66\u4ef7\u503c\u7684\u56fe\u50cf\u3002\u65e9\u671f\u7684\u5de5\u4f5c\u5e76\u6ca1\u6709\u63a2\u7d22\u66ff\u4ee3\u7684\u9002\u5e94\u5ea6\u8bc4\u4f30\u65b9\u6cd5\uff0c\u4e5f\u672a\u8003\u8651\u989c\u8272\u56e0\u7d20\u5bf9\u9002\u5e94\u5ea6\u7684\u5f71\u54cd\uff0c\u4e5f\u6ca1\u6709\u5bf9\u7ed3\u679c\u8fdb\u884c\u72ec\u7acb\u7684\u9a8c\u8bc1\u3002\u8fd9\u9879\u7814\u7a76\u63d0\u51fa\u4e86\u56db\u79cd\u9002\u5e94\u5ea6\u51fd\u6570\uff0c\u8fd9\u4e9b\u51fd\u6570\u7684\u8bbe\u8ba1\u7406\u5ff5\u57fa\u4e8e\u56fe\u50cf\u590d\u6742\u6027\u4e0e\u5904\u7406\u590d\u6742\u6027\u4e4b\u95f4\u7684\u6bd4\u7387\u3002\u4e3a\u4e86\u9a8c\u8bc1\u8fd9\u4e9b\u9002\u5e94\u5ea6\u51fd\u6570\u7684\u6709\u6548\u6027\uff0c\u4f5c\u8005\u5f00\u5c55\u4e86\u4e00\u9879\u7531100\u540d\u53c2\u4e0e\u8005\u7ec4\u6210\u7684\u8c03\u67e5\uff0c\u7ed3\u679c\u8868\u660e\uff0c\u4f7f\u7528\u8fd9\u4e9b\u9002\u5e94\u5ea6\u51fd\u6570\u80fd\u591f\u751f\u6210\u7f8e\u5b66\u4e0a\u4ee4\u4eba\u6109\u60a6\u7684\u56fe\u50cf\u3002\u8fd9\u4e00\u53d1\u73b0\u8bc1\u660e\u4e86\u901a\u8fc7\u6f14\u5316\u7b97\u6cd5\uff0c\u5b8c\u5168\u4e0d\u4f9d\u8d56\u4eba\u5de5\u5e72\u9884\uff0c\u4e5f\u80fd\u751f\u6210\u5177\u6709\u7f8e\u5b66\u5438\u5f15\u529b\u7684\u56fe\u50cf\u3002<\/span><\/span><\/p>\n

Atkins D L, Klapaukh R, Browne W N, et al. Evolution of aesthetically pleasing images without human-in-the-loop[C]\/\/IEEE Congress on Evolutionary Computation. IEEE, 2010: 1-8.<\/span><\/span><\/p>\n

4. \u8fd9\u7bc7\u8bba\u6587\u56de\u987e\u4e86\u4eba\u5728\u73af\u5b66\u4e60\u9886\u57df\u7684\u524d\u6cbf\u6280\u672f\uff0c\u6df1\u5165\u63a2\u8ba8\u4e86\u65b0\u578b\u7684<\/span><\/span>\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u4ea4\u4e92\u5173\u7cfb\u7684\u5177\u4f53\u65b9\u5f0f<\/span><\/span><\/strong>\uff0c\u5305\u62ec\u4e3b\u52a8\u5b66\u4e60\u3001\u4ea4\u4e92\u5f0f\u673a\u5668\u5b66\u4e60\u3001\u673a\u5668\u6559\u5b66\u3001\u8bfe\u7a0b\u5b66\u4e60\u3001<\/span><\/span>\u53ef\u89e3\u91ca\u4eba\u5de5\u667a\u80fd<\/span><\/span><\/strong>\u7b49\u3002\u6587\u7ae0\u4e0d\u4ec5\u4ec5\u5217\u4e3e\u4e86\u4e0d\u540c\u7684<\/span><\/span>\u7814\u7a76\u65b9\u6cd5<\/span><\/span><\/strong>\uff0c\u8fd8\u5b9a\u4e49\u548c\u6f84\u6e05\u4e86\u4e00\u4e9b\u6df7\u4e71\u3001\u4e0d\u540c\u751a\u81f3\u6709\u65f6\u76f8\u4e92\u77db\u76fe\u7684<\/span><\/span>\u672f\u8bed<\/span><\/span><\/strong>\uff1b\u660e\u786e\u4e86\u4e0d\u540c\u65b9\u6cd5\u4e4b\u95f4\u7684\u754c\u9650\uff1b\u5e76\u901a\u8fc7\u5173\u8054\u8fd9\u4e9b\u6280\u672f\uff0c\u63a2\u7d22\u5b83\u4eec\u4e4b\u95f4\u7684\u8054\u7cfb\u548c\u76f8\u4e92\u5f71\u54cd\u3002<\/span><\/span><\/p>\n

Mosqueira-Rey E, Hern\u00e1ndez-Pereira E, Alonso-R\u00edos D, et al. Human-in-the-loop machine learning: a state of the art[J]. Artificial Intelligence Review, 2023, 56(4): 3005-3054.<\/span><\/span><\/p>\n

5. \u8fd9\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u5728\u6570\u5b57\u5b6a\u751f\uff08DT\uff09\u548c\u52a8\u6001\u6570\u636e\u9a71\u52a8\u5e94\u7528\u7cfb\u7edf\uff08DDDAS\uff09\u4e2d\u5f15\u5165<\/span><\/span>\u53ef\u89e3\u91ca\u6027<\/span><\/span><\/strong>\u7684\u65b9\u6cd5\uff0c\u65e8\u5728\u63d0\u5347\u51b3\u7b56\u53ef\u4fe1\u5ea6\u3002\u901a\u8fc7\u7ed3\u5408<\/span><\/span>\u53ef\u89e3\u91ca\u673a\u5668\u5b66\u4e60\u548c\u76ee\u6807\u5efa\u6a21<\/span><\/span><\/strong>\uff0c\u5229\u7528<\/span><\/span>\u53cc\u5411\u5171\u751f\u611f\u77e5\u53cd\u9988\u5faa\u73af<\/span><\/span><\/strong>\u8fdb\u884c\u51b3\u7b56\u89e3\u91ca\uff0c\u5e76\u901a\u8fc7\u6548\u7528\u6743\u8861\u5206\u6790\u8bc4\u4f30\u51b3\u7b56\u6548\u679c\u3002\u8be5\u65b9\u6cd5\u4fdd\u6301\u4e86\u4eba\u7c7b\u5728\u56de\u8def\u4e2d\u7684\u53c2\u4e0e\uff0c\u786e\u4fdd\u51b3\u7b56\u7b26\u5408\u5b9e\u9645\u9700\u6c42\u3002\u4ee5\u667a\u80fd\u4ed3\u50a8\u4e3a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u63d0\u9ad8\u51b3\u7b56\u8d28\u91cf\u548c\u7cfb\u7edf\u51c6\u786e\u6027\uff0c\u907f\u514d\u9519\u8bef\u66f4\u65b0\uff0c\u63d0\u5347\u6574\u4f53\u6548\u7528\u3002<\/span><\/span><\/p>\n

Zhang N, Bahsoon R, Tziritas N, et al. Explainable human-in-the-loop dynamic data-driven digital twins[C]\/\/International Conference on Dynamic Data Driven Applications Systems. Cham: Springer Nature Switzerland, 2022: 233-243.<\/span><\/span><\/p>\n

6. \u8fd9\u7bc7\u6587\u7ae0\u63a2\u8ba8\u4e86\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u5728<\/span><\/span>\u5de5\u4f5c\u573a\u6240<\/span><\/span><\/strong>\u6574\u5408\u7684\u8d8b\u52bf\u4e0e\u6311\u6218\uff0c\u5f3a\u8c03\u8bbe\u8ba1<\/span><\/span>\u516c\u6b63\u3001\u53ef\u9760\u3001\u900f\u660e\u7684AI\u7cfb\u7edf<\/span><\/span><\/strong>\uff0c\u65e8\u5728<\/span><\/span>\u589e\u5f3a\u4eba\u7c7b\u80fd\u529b\u800c\u975e\u66ff\u4ee3<\/span><\/span><\/strong>\u3002\u901a\u8fc7\u5e94\u7528\u4eba\u673a\u4ea4\u4e92\uff08HITL\uff09\u548c\u53ef\u89e3\u91ca\u4eba\u5de5\u667a\u80fd\uff08XAI\uff09\u65b9\u6cd5\uff0c\u53ef\u4ee5\u521b\u5efa\u65b0\u7684\u4e92\u52a8\u6a21\u5f0f\u548c\u52a8\u6001\uff0c\u63a8\u52a8\u5de5\u4f5c\u5b9e\u8df5\u7684\u8f6c\u578b\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5e2e\u52a9\u5efa\u7acb\u900f\u660e\u53ef\u7406\u89e3\u7684AI\u7cfb\u7edf\uff0c\u4f7f\u4eba\u7c7b\u7528\u6237\u80fd\u591f\u4fe1\u4efb\u5e76\u4e0eAI\u534f\u4f5c\uff0c\u63d0\u5347\u5de5\u4f5c\u6548\u7387\uff0c\u5f00\u8f9f\u672a\u6765\u5de5\u4f5c\u7684\u521b\u65b0\u8bbe\u8ba1\u7a7a\u95f4\u3002<\/span><\/span><\/p>\n

Tsiakas K, Murray-Rust D. Using human-in-the-loop and explainable AI to envisage new future work practices[C]\/\/Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments. 2022: 588-594.<\/span><\/span><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8<\/span>\u6210\u7acb\u4e8e 2003 \u5e74\uff0c\u662f\u4e00\u4e2a\u4ece\u4e8b\u5b66\u672f\u7814\u7a76\u3001\u4eab\u53d7\u79d1\u5b66\u4e50\u8da3\u7684\u63a2\u7d22\u8005\u7684\u56e2\u4f53\uff0c\u4e5f\u662f\u56fd\u5185\u6700\u65e9\u7684\u7814\u7a76\u4eba\u5de5\u667a\u80fd\u3001\u590d\u6742\u7cfb\u7edf\u7684\u79d1\u5b66\u793e\u533a\u3002\u5b83\u5021\u5bfc\u4ee5\u5e73\u7b49\u5f00\u653e\u7684\u6001\u5ea6\u3001\u79d1\u5b66\u5b9e\u8bc1\u7684\u7cbe\u795e\uff0c\u8fdb\u884c\u8de8\u5b66\u79d1\u7684\u7814\u7a76\u4e0e\u4ea4\u6d41\uff0c\u529b\u56fe\u642d\u5efa\u4e00\u4e2a\u4e2d\u56fd\u7684 \u201c \u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240 \u201d\u3002\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\uff08\u6c11\u95f4\u975e\u8425\u5229\u4f01\u4e1a\uff09\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u7684\u8fd0\u8425\u4e3b\u4f53\uff0c<\/span><\/span>\u5176\u4f7f\u547d\u4e3a\uff1a\u8425\u9020\u8de8\u5b66\u79d1\u63a2\u7d22\u5c0f\u751f\u5883\uff0c\u50ac\u5316\u590d\u6742\u6027\u79d1\u5b66\u65b0\u7406\u8bba\u3002<\/span><\/span><\/strong><\/p>\n


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\u96c6\u667a\u5b66\u56ed<\/span><\/span><\/strong>\u6210\u7acb\u4e8e2016\u5e74\uff0c\u662f\u96c6\u667a\u4ff1\u4e50\u90e8\u5b55\u80b2\u7684\u521b\u4e1a\u56e2\u961f\u3002\u96c6\u667a\u5b66\u56ed\u81f4\u529b\u4e8e\u4f20\u64ad\u590d\u6742\u6027\u79d1\u5b66\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u77e5\u8bc6\u548c\u65b0\u5174\u6280\u672f\uff0c\u4fc3\u8fdb\u3001\u63a8\u52a8\u590d\u6742\u79d1\u5b66\u9886\u57df\u7684\u77e5\u8bc6\u63a2\u7d22\u4e0e\u751f\u6001\u6784\u5efa\u3002<\/span><\/span><\/p>\n


<\/span><\/p>\n

<\/section>\n


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<\/span><\/h1>\n
\u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
<\/strong><\/section>\n
1. \u8ba9\u673a\u5668\u4eba\u50cf\u4eba\u7c7b\u4e00\u6837\u7ec8\u8eab\u5b66\u4e60\uff0c\u7a81\u7834\u6027\u6846\u67b6LEGION\u767bNat. Mach. Intell.<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
2. Science Robotics\u901f\u9012\uff1a\u673a\u5668\u5b66\u4e60\u9a71\u52a8\u7684\u673a\u5668\u4eba\u8eab\u4f53\u5f62\u6001\u81ea\u6211\u53d1\u73b0<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
3. \u4eba\u5de5\u667a\u80fd\u52a0\u901f\u79d1\u5b66\u4eff\u771f\u3001\u8bbe\u8ba1\u3001\u63a7\u5236\u548c\u53d1\u73b0<\/span><\/a><\/span>
<\/span><\/strong><\/strong><\/section>\n
<\/strong><\/section>\n
4. <\/span><\/strong><\/span>\u6e38\u620f\u5316\u79d1\u7814\u2014\u2014\u8ba9\u6211\u4eec\u7a81\u7834\u5185\u5377\u3001\u5171\u7814\u6d8c\u73b0<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/section>\n

6. \u52a0\u5165\u96c6\u667a\uff0c\u73a9\u8f6c\u590d\u6742\uff0c\u5171\u521b\u6591\u56fe\uff01\u96c6\u667a\u4ff1\u4e50\u90e8\u7ebf\u4e0b\u5fd7\u613f\u8005\u62db\u52df<\/span><\/a><\/span><\/strong><\/p>\n


<\/span><\/h1>\n


<\/span><\/h1>\n

\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/h1>\n
<\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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