{"id":90364,"date":"2026-08-05T07:16:41","date_gmt":"2026-08-04T23:16:41","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/90364.html"},"modified":"2026-08-05T07:16:41","modified_gmt":"2026-08-04T23:16:41","slug":"roboharness%ef%bc%9a%e9%9d%a2%e5%90%91%e9%95%bf%e6%97%b6%e7%a8%8b%e8%a7%84%e5%88%92%e5%bc%82%e6%9e%84%e6%9c%ba%e5%99%a8%e4%ba%ba%e7%ad%96%e7%95%a5%e7%9a%84%e8%ae%b0%e5%bf%86-%e9%a9%b1%e5%8a%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/90364.html","title":{"rendered":"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392"},"content":{"rendered":"

26\u5e747\u6708\u6765\u81ea\u534e\u4e3a\u8bfa\u4e9a\u3001UBC\u3001Toronto\u5927\u5b66\u3001Mcgill\u5927\u5b66\u548c2012\u5b9e\u9a8c\u5ba4\u57fa\u7840\u6a21\u578b\u90e8\u7684\u8bba\u6587\u201cRoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning\u201d\u3002<\/p>\n

\u957f\u65f6\u7a0b\u673a\u5668\u4eba\u4efb\u52a1\u9700\u8981\u591a\u79cd\u80fd\u529b，\u800c\u5355\u4e00\u7b56\u7565\u5f80\u5f80\u65e0\u6cd5\u53ef\u9760\u5730\u63d0\u4f9b\u6240\u6709\u8fd9\u4e9b\u80fd\u529b\u3002\u5f02\u6784\u7b56\u7565\u5404\u5177\u4f18\u52bf\u4e14\u4e92\u8865，\u4f46\u8981\u534f\u8c03\u8fd9\u4e9b\u7b56\u7565，\u5fc5\u987b\u5e94\u5bf9\u4e0d\u786e\u5b9a\u7684\u80fd\u529b\u8fb9\u754c\u53ca\u8de8\u7b56\u7565\u5206\u5e03\u4e0d\u5339\u914d\u7b49\u6311\u6218\u2014\u2014\u73b0\u6709\u7684\u57fa\u4e8e\u540c\u6784\u3001\u9884\u5b9a\u4e49\u4e14\u9002\u7528\u8303\u56f4\u56fa\u5b9a\u7684\u6280\u80fd\u7684\u89c4\u5212\u65b9\u6cd5，\u5f80\u5f80\u5ffd\u89c6\u4e86\u8fd9\u4e9b\u95ee\u9898\u3002RoboHarness，\u8fd9\u662f\u4e00\u4e2a\u7edf\u4e00\u6846\u67b6，\u5c06\u72ec\u7acb\u5f00\u53d1\u7684\u673a\u5668\u4eba\u63a7\u5236\u7cfb\u7edf\u5c01\u88c5\u4e3a\u53ef\u590d\u7528\u7684\u667a\u4f53\u6280\u80fd（agentic skills）\u3002\u5c3d\u7ba1\u672c\u7814\u7a76\u4e2d\u8be5\u6846\u67b6\u662f\u57fa\u4e8e\u89c6\u89c9-\u8bed\u8a00-\u52a8\u4f5c\u6a21\u578b（VLA）\u3001\u5f3a\u5316\u5b66\u4e60（RL）\u7b56\u7565\u4ee5\u53ca\u4efb\u52a1-\u8fd0\u52a8\u89c4\u5212（TAMP）\u7cfb\u7edf\u5b9e\u73b0\u7684，\u4f46\u5176\u8bbe\u8ba1\u521d\u8877\u662f\u4e00\u4e2a\u901a\u7528\u6846\u67b6，\u80fd\u591f\u517c\u5bb9\u66f4\u5e7f\u6cdb\u7684\u673a\u5668\u4eba\u7b56\u7565，\u4f8b\u5982\u5bfc\u822a\u7b56\u7565\u3001\u6a21\u578b\u9884\u6d4b\u63a7\u5236\u5668\u548c\u4e16\u754c-\u52a8\u4f5c\u6a21\u578b\u3002RoboHarness \u5229\u7528\u591a\u6a21\u6001\u6267\u884c\u8bb0\u5fc6\u548c\u5728\u7ebf\u8bc1\u636e\u6765\u523b\u753b\u7b56\u7565\u7684\u80fd\u529b\u8fb9\u754c，\u4ece\u800c\u5b9e\u73b0\u5177\u5907\u80fd\u529b\u611f\u77e5\u7279\u6027\u7684\u4efb\u52a1\u5206\u89e3\u4e0e\u7b56\u7565\u8def\u7531\u3002\u4e3a\u4e86\u786e\u4fdd\u7b56\u7565\u4ea4\u63a5\u7684\u7a33\u5b9a\u6027，\u8be5\u6846\u67b6\u7684\u201c\u8bb0\u5fc6\u6865\u201d（Memory Bridge）\u6a21\u5757\u4f1a\u68c0\u7d22\u4e0e\u4e0b\u4e00\u9636\u6bb5\u7b56\u7565\u76f8\u5173\u7684\u6267\u884c\u8f68\u8ff9，\u4f30\u7b97\u8be5\u7b56\u7565\u7684\u5206\u5e03\u5185\u72b6\u6001\u533a\u57df，\u5e76\u5f15\u5bfc\u673a\u5668\u4eba\u5411\u8be5\u533a\u57df\u79fb\u52a8，\u800c\u65e0\u9700\u5bf9\u7b56\u7565\u8fdb\u884c\u8054\u5408\u91cd\u8bad\u7ec3\u3002\u5728\u4e09\u4e2a\u516c\u5f00\u57fa\u51c6\u6d4b\u8bd5\u3001500 \u4e2a\u5b9a\u5236\u4efb\u52a1\u4ee5\u53ca 135 \u7ec4\u771f\u5b9e\u673a\u5668\u4eba\u5b9e\u9a8c\u4e2d\u8fdb\u884c\u7684\u5e7f\u6cdb\u6d4b\u8bd5\u8868\u660e，\u5176\u5b9e\u73b0\u6709\u6548\u7684\u80fd\u529b-\u89c9\u5bdf\u8def\u7531\u4e0e\u7a33\u5b9a\u7684\u7b56\u7565\u534f\u8c03，\u663e\u8457\u63d0\u5347\u4e86\u96f6\u6837\u672c\u957f\u65f6\u7a0b\u89c4\u5212\u80fd\u529b\u53ca\u5206\u5e03\u5916（OOD）\u9c81\u68d2\u6027\u3002<\/p>\n

\n

\u957f\u65f6\u7a0b（long-horizo\u200b\u200bn）\u673a\u5668\u4eba\u4efb\u52a1\u8981\u6c42\u7b56\u7565\u80fd\u591f\u4fdd\u6301\u6307\u4ee4\u5bf9\u9f50\u3001\u6cdb\u5316\u9002\u5e94\u73af\u5883\u53d8\u5316\u3001\u7ef4\u6301\u903b\u8f91\u4e00\u81f4\u6027\u5e76\u5177\u5907\u6297\u566a\u9c81\u68d2\u6027（Garrett et al., 2020; Yang et al., 2025）\u3002\u5c3d\u7ba1\u8fd1\u671f\u673a\u5668\u4eba\u7cfb\u7edf\u7814\u7a76\u5df2\u53d6\u5f97\u663e\u8457\u8fdb\u5c55（Huang et al., 2026b; Black et al., 2024; Silver et al., 2024; Ye et al., 2025），\u4f46\u5c1a\u65e0\u5355\u4e00\u7b56\u7565\u80fd\u5b8c\u7f8e\u6ee1\u8db3\u6240\u6709\u8981\u6c42，\u5404\u79cd\u7b56\u7565\u5404\u6709\u5229\u5f0a\u3002\u4f8b\u5982，\u89c6\u89c9-\u8bed\u8a00-\u52a8\u4f5c\u6a21\u578b（VLAs）\u5177\u5907\u8bed\u4e49\u63a5\u5730（semantic grounding）\u548c\u5f00\u653e\u8bcd\u6c47\u6307\u4ee4\u9075\u5faa\u80fd\u529b（Black et al., 2024; Kim et al., 2025; Zheng et al., 2025），\u4f46\u5728\u957f\u65f6\u7a0b\u4e00\u81f4\u6027\u548c\u51e0\u4f55\u7cbe\u5ea6\u65b9\u9762\u4ecd\u5b58\u5728\u5c40\u9650\u3002\u5f3a\u5316\u5b66\u4e60（RL）\u540e\u8bad\u7ec3\u53ef\u5728\u7279\u5b9a\u8bad\u7ec3\u5206\u5e03\u5185\u751f\u6210\u95ed\u73af\u884c\u4e3a（Zang et al., 2025; Intelligence et al., 2025），\u4f46\u5728\u9762\u4e34\u5206\u5e03\u504f\u79fb\u6216\u5956\u52b1\u51fd\u6570\u5b9a\u4e49\u4e0d\u5f53\u7684\u60c5\u51b5\u4e0b，\u5176\u9002\u7528\u6027\u5f80\u5f80\u4f1a\u4e0b\u964d\u3002\u4efb\u52a1-\u8fd0\u52a8\u89c4\u5212（TAMP）\u7cfb\u7edf\u63d0\u4f9b\u7ed3\u6784\u5316\u7684\u903b\u8f91\u4e0e\u51e0\u4f55\u63a8\u7406\u80fd\u529b（Silver et al., 2023; Kumar et al., 2023; Liu et al., 2024; Huang et al., 2025），\u4f46\u5176\u6cdb\u5316\u80fd\u529b\u53d7\u9650\u4e8e\u9884\u5b9a\u4e49\u7684\u62bd\u8c61\u6982\u5ff5\u3001\u6280\u80fd\u53ca\u72b6\u6001\u8868\u5f81\u3002\u66f4\u5e7f\u6cdb\u800c\u8a00，\u73b0\u6709\u7b56\u7565\u7684\u80fd\u529b\u5404\u6709\u9650\u5236，\u6ca1\u6709\u54ea\u79cd\u5355\u4e00\u7b56\u7565\u80fd\u4e3a\u8de8\u8d8a\u591a\u79cd\u4e0d\u540c\u80fd\u529b\u9700\u6c42\u7684\u5b50\u4efb\u52a1\u7684\u957f\u65f6\u7a0b\u4efb\u52a1\u63d0\u4f9b\u901a\u7528\u89e3\u51b3\u65b9\u6848\u3002\u8fd9\u4fc3\u4f7f\u5c06\u957f\u65f6\u7a0b\u4efb\u52a1\u6267\u884c\u95ee\u9898\u6784\u60f3\u4e3a\u591a\u79cd\u5177\u6709\u4e0d\u540c\u80fd\u529b\u8fb9\u754c\u7684\u5f02\u6784\u7b56\u7565\u4e4b\u95f4\u7684\u534f\u540c\u3002<\/p>\n

\u9762\u5411\u667a\u4f53\u4e0e\u673a\u5668\u4eba\u6267\u884c\u7684\u201c\u9a7e\u9a6d\u201d\u7cfb\u7edf（Harness Systems）\u3002\u9a7e\u9a6d\u7cfb\u7edf\u8d77\u6e90\u4e8e\u8f6f\u4ef6\u4e0e\u7f16\u7a0b\u667a\u4f53\u9886\u57df，\u5176\u6838\u5fc3\u662f\u5c06\u8bed\u8a00\u6a21\u578b\u5d4c\u5165\u6267\u884c\u5faa\u73af\u4e2d，\u4f7f\u5176\u80fd\u591f\u8c03\u7528\u5de5\u5177\u3001\u4ee3\u7801\u89e3\u91ca\u5668\u3001\u6587\u4ef6\u7cfb\u7edf\u3001\u5185\u5b58\u3001\u6d4b\u8bd5\u5de5\u5177\u53ca\u5229\u7528\u53cd\u9988\u4fe1\u53f7（Yao et al., 2022; Schick et al., 2023; Shinn et al., 2023）\u3002\u6b64\u7c7b\u7cfb\u7edf\u4e3a\u5de5\u5177\u8c03\u7528\u3001\u72b6\u6001\u8ffd\u8e2a\u3001\u8fed\u4ee3\u4f18\u5316\u4ee5\u53ca\u57fa\u4e8e\u4e2d\u95f4\u53cd\u9988\u7684\u7ea0\u9519\u63d0\u4f9b\u4e86\u5916\u90e8\u652f\u6491\u6846\u67b6，\u968f\u540e\u6269\u5c55\u81f3\u53ef\u6267\u884c\u6280\u80fd\u5e93\u3001\u591a\u667a\u4f53\u534f\u4f5c\u53ca\u8f6f\u4ef6\u5de5\u7a0b\u667a\u4f53\u7b49\u9886\u57df（Wang et al., 2023; Wu et al., 2023; Hong et al., 2024; Wang et al., 2024; Yang et al., 2024; Wang et al., 2025; Xia et al., 2024）\u3002\u8fd1\u671f，\u8fd9\u4e00\u7406\u5ff5\u88ab\u5f15\u5165\u673a\u5668\u4eba\u9886\u57df（Li et al., 2026b），RoboClaw，\u5c06\u89c6\u89c9-\u8bed\u8a00-\u52a8\u4f5c\u6a21\u578b（VLA）\u4e0e\u7ba1\u7406\u53ca\u8c03\u5ea6\u7cfb\u7edf\u76f8\u7ed3\u5408，\u4ee5\u5b9e\u73b0\u6570\u636e\u91c7\u96c6\u3001\u4efb\u52a1\u6267\u884c\u548c\u81ea\u6211\u6539\u8fdb\u3002\u4e0e\u7f16\u7a0b\u667a\u4f53\u76f8\u6bd4，\u673a\u5668\u4eba\u9a7e\u9a6d\u7cfb\u7edf\u5fc5\u987b\u5728\u7269\u7406\u4e16\u754c\u7684\u7ea6\u675f\u4e0b\u8fd0\u884c（Xiao et al., 2026），\u8fd9\u5bf9\u5e95\u5c42\u6a21\u578b\u63d0\u51fa\u4e86\u66f4\u9ad8\u7684\u8981\u6c42\u3002\u6b64\u5916，\u673a\u5668\u4eba\u667a\u4f53\u7cfb\u7edf\u8fd8\u9762\u4e34\u7b56\u7565\u5f02\u6784\u6027\u7684\u6311\u6218：\u4e0d\u540c\u7684\u7b56\u7565\u65cf\u5728\u80fd\u529b\u3001\u5047\u8bbe\u3001\u8868\u5f81\u53ca\u6267\u884c\u673a\u5236\u4e0a\u5404\u4e0d\u76f8\u540c（Zhang et al., 2026; Dalal et al., 2023; Huang et al., 2026a; 2022），\u8fd9\u4f7f\u5f97\u7b56\u7565\u7684\u9009\u62e9\u4e0e\u534f\u8c03\u53d8\u5f97\u590d\u6742\u3002\u56e0\u6b64，\u73b0\u6709\u7cfb\u7edf\u901a\u5e38\u4ec5\u5728\u56fa\u5b9a\u7684\u6267\u884c\u63a5\u53e3\u4e0b\u7ec4\u7ec7\u6765\u81ea\u540c\u4e00\u7b56\u7565\u65cf\u7684\u6280\u80fd，\u9690\u542b\u5730\u5047\u8bbe\u8868\u5f81\u7684\u517c\u5bb9\u6027\u4e0e\u5206\u5e03\u5185（in-distribution）\u7684\u4ea4\u63a5（Li et al., 2026b; Xiao et al., 2026），\u800c\u672a\u660e\u786e\u89e3\u51b3\u5f02\u6784\u7b56\u7565\u7684\u534f\u540c\u8c03\u5ea6\u6216\u80fd\u529b\u8fb9\u754c\u4e0d\u786e\u5b9a\u6027\u95ee\u9898\u3002RoboHarness \u65e8\u5728\u586b\u8865\u8fd9\u4e00\u7a7a\u767d，\u63d0\u4f9b\u4e00\u79cd\u4e13\u4e3a\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u4e4b\u95f4\u5177\u5907\u201c\u80fd\u529b-\u89c9\u5bdf\u201d\u7279\u6027\u7684\u534f\u8c03\u800c\u8bbe\u8ba1\u7684\u9a7e\u9a6d\u7cfb\u7edf\u3002<\/p>\n

\u957f\u65f6\u7a0b\u673a\u5668\u4eba\u89c4\u5212\u4e0e\u4efb\u52a1\u5206\u89e3\u3002\u9488\u5bf9\u957f\u65f6\u7a0b（long-horizo\u200b\u200bn）\u673a\u5668\u4eba\u89c4\u5212\u7684\u7814\u7a76\u6db5\u76d6\u4e86\u5206\u5c42\u89c4\u5212\u3001\u4efb\u52a1\u4e0e\u8fd0\u52a8\u89c4\u5212\u3001\u57fa\u4e8e\u6280\u80fd\u7684\u89c4\u5212\u4ee5\u53ca\u57fa\u4e8e\u8bed\u8a00\u6a21\u578b\u7684\u89c4\u5212\u7b49\u591a\u79cd\u65b9\u6cd5（Silver et al., 2024; Liang et al., 2024; Athalye et al., 2024; Garrett et al., 2020; Liu et al., 2024; Oswald et al., 2024; Huang et al., 2025）\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5c06\u9ad8\u5c42\u6307\u4ee4\u5206\u89e3\u4e3a\u7b26\u53f7\u5316\u52a8\u4f5c\u3001\u57fa\u7840\u6280\u80fd\u6216\u5b50\u4efb\u52a1\u5e8f\u5217，\u4ece\u800c\u964d\u4f4e\u4e86\u89e3\u51b3\u957f\u65f6\u7a0b\u64cd\u4f5c\u4efb\u52a1\u7684\u590d\u6742\u5ea6\u3002\u4efb\u52a1\u4e0e\u8fd0\u52a8\u89c4\u5212\u65b9\u6cd5\u7ed3\u5408\u4e86\u7b26\u53f7\u5316\u4efb\u52a1\u63a8\u7406\u3001\u51e0\u4f55\u53ef\u884c\u6027\u68c0\u67e5\u4ee5\u53ca\u9884\u5148\u8bbe\u8ba1\u7684\u62bd\u8c61\u53ef\u590d\u7528\u6280\u80fd（Garrett et al., 2021; Kaelbling & Lozano-P\u00e9rez, 2011）\u3002\u8fd1\u671f\u57fa\u4e8e\u8bed\u8a00\u6a21\u578b\u7684\u89c4\u5212\u5668\u5229\u7528\u8bed\u4e49\u77e5\u8bc6\u548c\u6307\u4ee4\u9075\u5faa\u80fd\u529b，\u6839\u636e\u81ea\u7136\u8bed\u8a00\u76ee\u6807\u751f\u6210\u4efb\u52a1\u89c4\u5212，\u5e76\u4f7f\u5176\u9002\u5e94\u4e0d\u540c\u7684\u4efb\u52a1\u60c5\u5883（Zhao et al., 2023; Yang et al., 2025; Guan et al., 2023; Chen et al., 2024; Hu et al., 2023）\u3002\u7136\u800c，\u8fd9\u4e9b\u65b9\u6cd5\u5927\u591a\u57fa\u4e8e\u540c\u6784\u6280\u80fd\u6216\u7b56\u7565\u7684\u5047\u8bbe，\u5373\u5404\u9879\u7b56\u7565\u5177\u6709\u9884\u5b9a\u4e49\u3001\u660e\u786e\u4e14\u4e92\u4e0d\u91cd\u53e0\u7684\u80fd\u529b；\u5b83\u4eec\u9690\u542b\u5730\u5047\u8bbe\u63a7\u5236\u6743\u8f6c\u79fb\u65e0\u9700\u989d\u5916\u7684\u4e2d\u4ecb\u6b65\u9aa4，\u4e14\u4e0d\u540c\u7b56\u7565\u95f4\u7684\u8f93\u5165\u4e0e\u8f93\u51fa\u6761\u4ef6\u662f\u76f8\u4e92\u5339\u914d\u7684\u3002\u56e0\u6b64，\u8fd9\u4e9b\u65b9\u6cd5\u672a\u80fd\u89e3\u51b3\u6d89\u53ca\u5f02\u6784\u7b56\u7565\u7684\u957f\u65f6\u7a0b\u89c4\u5212\u95ee\u9898\u2014\u2014\u5728\u6b64\u7c7b\u95ee\u9898\u4e2d，\u4efb\u52a1\u5206\u89e3\u3001\u7b56\u7565\u5206\u914d\u4ee5\u53ca\u7b56\u7565\u95f4\u7684\u4ea4\u63a5（handoff）\u5fc5\u987b\u8fdb\u884c\u8054\u5408\u63a8\u7406\u3002<\/p>\n

\u7b56\u7565\u94fe\u5f0f\u7ec4\u5408\u4e0e\u7a7a\u95f4\u4e00\u81f4\u6027\u4ea4\u63a5\u3002\u6280\u80fd\u94fe\u5f0f\u7ec4\u5408（Skill chaining）\u7814\u7a76\u4e86\u5728\u8fde\u63a5\u77ed\u65f6\u7a0b\u7b56\u7565\u4ee5\u89e3\u51b3\u957f\u65f6\u7a0b\u4efb\u52a1\u65f6\u51fa\u73b0\u7684\u5206\u5e03\u504f\u79fb\u95ee\u9898，\u5176\u4e2d\u76f8\u90bb\u7b56\u7565\u95f4\u7684\u4ea4\u63a5\u5f80\u5f80\u6210\u4e3a\u5236\u7ea6\u6027\u80fd\u7684\u74f6\u9888\u3002\u65e2\u6709\u7814\u7a76\u901a\u8fc7\u5b66\u4e60\u8d77\u59cb\u96c6（Konidaris & Barto, 2009; Huang et al., 2023）\u3001\u8f6c\u79fb\u673a\u5236（Lee et al., 2019; Sahni et al., 2017; Mishra et al., 2023）\u6216\u7ec8\u6b62\u72b6\u6001\u6b63\u5219\u5316\u9879（Lee et al., 2021），\u6765\u6539\u5584\u67d0\u4e00\u7b56\u7565\u7684\u7ec8\u6b62\u72b6\u6001\u4e0e\u540e\u7eed\u7b56\u7565\u53ef\u6267\u884c\u533a\u57df\u4e4b\u95f4\u7684\u517c\u5bb9\u6027，\u4ece\u800c\u5e94\u5bf9\u8fd9\u79cd\u5206\u5e03\u4e0d\u5339\u914d\u95ee\u9898\u3002\u8fd9\u4e9b\u65b9\u6cd5\u8868\u660e，\u957f\u7a0b\u4efb\u52a1\u7684\u6027\u80fd\u4e0d\u4ec5\u53d6\u51b3\u4e8e\u5355\u4e2a\u7b56\u7565\u7684\u53ef\u9760\u6027，\u8fd8\u53d6\u51b3\u4e8e\u524d\u4e00\u7b56\u7565\u7684\u7ec8\u6b62\u72b6\u6001\u4e0e\u540e\u4e00\u7b56\u7565\u53ef\u6267\u884c\u533a\u57df\u4e4b\u95f4\u7684\u517c\u5bb9\u6027\u3002\u7136\u800c，\u8fd9\u4e9b\u65b9\u6cd5\u4e3b\u8981\u5c5e\u4e8e\u8bad\u7ec3\u9636\u6bb5\u7684\u89e3\u51b3\u65b9\u6848，\u9700\u8981\u989d\u5916\u7684\u5b66\u4e60\u8fc7\u7a0b\u6216\u7b56\u7565\u6b63\u5219\u5316，\u800c\u65e0\u6cd5\u5b9e\u73b0\u5728\u7ebf\u7684\u5373\u63d2\u5373\u7528\u5f0f\u534f\u540c\u3002\u6b64\u5916，\u8fd9\u4e9b\u65b9\u6cd5\u901a\u5e38\u5047\u8bbe\u5b58\u5728\u4e00\u4e2a\u80fd\u529b\u8fb9\u754c\u76f8\u5bf9\u660e\u786e\u7684\u5171\u4eab\u7b56\u7565\u65cf\u53ca\u65e2\u5b9a\u6280\u80fd\u96c6，\u56e0\u800c\u672a\u80fd\u5145\u5206\u89e3\u51b3\u5f02\u6784\u7b56\u7565\u7684\u5206\u89e3\u4e0e\u8c03\u5ea6\u95ee\u9898\u3002<\/p>\n

\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u73b0\u6709\u89c4\u5212\u65b9\u6cd5\u5c1a\u672a\u5145\u5206\u89e3\u51b3\u7684\u89c4\u5212\u95ee\u9898：\u5982\u4f55\u534f\u540c\u72ec\u7acb\u8bbe\u8ba1\u6216\u8bad\u7ec3\u7684\u5f02\u6784\u63a7\u5236\u7b56\u7565，\u4ee5\u89e3\u51b3\u90a3\u4e9b\u8d85\u51fa\u4efb\u4f55\u5355\u4e00\u7b56\u7565\u56fa\u6709\u80fd\u529b\u8303\u56f4\u7684\u957f\u65f6\u7a0b\u4efb\u52a1\u3002\u4f20\u7edf\u7684\u957f\u65f6\u7a0b\u89c4\u5212\u65b9\u6cd5\u901a\u5e38\u5047\u8bbe\u5b58\u5728\u4e00\u7ec4\u9002\u7528\u8303\u56f4\u56fa\u5b9a\u7684\u540c\u6784\u9884\u5b9a\u4e49\u6280\u80fd（Liang et al., 2024; Han et al., 2024; Kaelbling & Lozano-P\u00e9rez, 2011），\u4ece\u800c\u80fd\u591f\u5728\u5177\u6709\u660e\u786e\u6280\u80fd\u8fb9\u754c\u7684\u9759\u6001\u6280\u80fd\u7a7a\u95f4\u5185\u8fdb\u884c\u4efb\u52a1\u5206\u89e3\u3002\u76f8\u6bd4\u4e4b\u4e0b，\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u5728\u67b6\u6784\u3001\u8f93\u5165\u8f93\u51fa\u8981\u6c42\u3001\u7b56\u7565\u5047\u8bbe\u53ca\u6267\u884c\u5386\u53f2\u65b9\u9762\u5404\u4e0d\u76f8\u540c（Zhang et al., 2026; Garrett et al., 2021）\u3002\u5b83\u4eec\u7684\u9002\u7528\u8fb9\u754c\u5f80\u5f80\u6a21\u7cca\u4e14\u4f9d\u8d56\u4e8e\u5177\u4f53\u60c5\u5883：\u4e0d\u540c\u7b56\u7565\u7684\u9002\u7528\u8303\u56f4\u53ef\u80fd\u5b58\u5728\u91cd\u53e0，\u800c\u5b83\u4eec\u7684\u76f8\u5bf9\u6027\u80fd\u4e5f\u4f1a\u968f\u7269\u4f53\u914d\u7f6e\u3001\u89c6\u89c9\u89c2\u6d4b\u3001\u8bed\u8a00\u6307\u4ee4\u53ca\u6267\u884c\u5386\u53f2\u7684\u53d8\u5316\u800c\u6ce2\u52a8\u3002\u56e0\u6b64，\u89c4\u5212\u5668\u5fc5\u987b\u6839\u636e\u7b56\u7565\u7684\u80fd\u529b\u6765\u5206\u89e3\u4efb\u52a1，\u5e76\u786e\u5b9a\u5728\u5f53\u524d\u6761\u4ef6\u4e0b\u54ea\u4e2a\u7b56\u7565\u80fd\u53ef\u9760\u5730\u6267\u884c\u5404\u4e2a\u5b50\u4efb\u52a1\u3002\u6b64\u5916，\u72ec\u7acb\u8bad\u7ec3\u6216\u4eba\u5de5\u8bbe\u8ba1\u7684\u7b56\u7565\u672a\u5fc5\u80fd\u76f4\u63a5\u7ec4\u5408：\u4e00\u4e2a\u7b56\u7565\u4ea7\u751f\u7684\u7ec8\u6b62\u72b6\u6001\u53ef\u80fd\u5e76\u4e0d\u5904\u4e8e\u4e0b\u4e00\u4e2a\u7b56\u7565\u7684\u53ef\u6267\u884c\u533a\u57df\u6216\u8f93\u5165\u5206\u5e03\u8303\u56f4\u5185（Lee et al., 2021; 2019）\u3002\u82e5\u5728\u63a7\u5236\u6743\u4ea4\u63a5\u65f6\u5ffd\u89c6\u8fd9\u79cd\u4e0d\u5339\u914d，\u53ef\u80fd\u4f1a\u5f15\u53d1\u5206\u5e03\u504f\u79fb，\u751a\u81f3\u5bfc\u81f4\u7b56\u7565\u4ea4\u63a5\u8fc7\u7a0b\u4e2d\u7684\u7ea7\u8054\u6545\u969c\u3002<\/p>\n

RoboHarness，\u662f\u4e00\u4e2a\u7528\u4e8e\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u4e14\u5177\u5907\u201c\u80fd\u529b-\u89c9\u5bdf\u201d\u7279\u6027\u7684\u7edf\u4e00\u89c4\u5212\u6846\u67b6\u3002RoboHarness \u5c06\u72ec\u7acb\u8bad\u7ec3\u6216\u4eba\u5de5\u8bbe\u8ba1\u7684\u7b56\u7565\u5c01\u88c5\u4e3a\u53ef\u590d\u7528\u7684\u667a\u4f53\u6280\u80fd\u6a21\u5757，\u5e76\u8f85\u4ee5\u63cf\u8ff0\u80fd\u529b\u8fb9\u754c\u53ca\u534f\u8c03\u7279\u5b9a\u8f93\u5165\u8f93\u51fa\u8981\u6c42\u7684\u8f85\u52a9\u6a21\u5757\u3002\u4e3a\u4e86\u652f\u6301\u53ef\u9760\u7684\u7b56\u7565\u95f4\u4ea4\u63a5，RoboHarness \u5f15\u5165\u4e00\u79cd\u540d\u4e3a\u201c\u8bb0\u5fc6\u6865（memory bridge）\u201d\u7684\u94fe\u5f0f\u8fde\u63a5\u6280\u672f，\u8be5\u6280\u672f\u7ed3\u5408\u4e86\u8bb0\u5fc6\u68c0\u7d22\u4e0e\u7a7a\u95f4\u5206\u5e03\u5b66\u4e60，\u4ee5\u4fdd\u6301\u7a7a\u95f4\u4e00\u81f4\u6027\u3002\u8fd9\u4e00\u8bbe\u8ba1\u4f7f RoboHarness \u80fd\u591f\u6839\u636e\u7b56\u7565\u7684\u9002\u7528\u6027\u5206\u89e3\u4efb\u52a1，\u5e76\u81ea\u9002\u5e94\u5730\u534f\u8c03\u6240\u9009\u7b56\u7565，\u4ece\u800c\u4ee5\u96f6\u6837\u672c（zero-shot）\u65b9\u5f0f\u5b8c\u6210\u590d\u6742\u7684\u957f\u7a0b\u4efb\u52a1\u3002<\/p>\n

\n

\u95ee\u9898\u7684\u5173\u952e\u5728\u4e8e\u534f\u540c\u6267\u884c\u4efb\u52a1\u5206\u89e3\u3001\u57fa\u4e8e\u80fd\u529b-\u89c9\u5bdf\u7684\u7b56\u7565\u5206\u914d\u4ee5\u53ca\u7b56\u7565\u95f4\u7684\u8854\u63a5，\u4ece\u800c\u786e\u4fdd\u6700\u7ec8\u7684\u6267\u884c\u8fc7\u7a0b\u80fd\u591f\u5b8c\u6210\u4efb\u52a1 I，\u540c\u65f6\u4f7f\u6bcf\u4e2a\u88ab\u9009\u5b9a\u7684\u7b56\u7565\u90fd\u5206\u914d\u5230\u53ef\u884c\u7684\u5b50\u4efb\u52a1，\u5e76\u63a5\u6536\u5230\u7b26\u5408\u5206\u5e03（in-distribution）\u7684\u8f93\u5165\u3002<\/p>\n

RoboHarness \u662f\u4e00\u4e2a\u667a\u4f53\u7f16\u6392\u6846\u67b6，\u5176\u4e2d\u7f16\u7801\u667a\u4f53（coding agent）\u5145\u5f53\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u9ad8\u5c42\u89c4\u5212\u5668\u4e0e\u8c03\u5ea6\u5668\u3002\u8be5\u7f16\u7801\u667a\u4f53\u52a8\u6001\u8c03\u7528\u4e09\u7c7b\u8f85\u52a9\u6280\u80fd：\u4fe1\u606f\u7406\u89e3\u3001\u8bb0\u5fc6\u548c\u81ea\u6211\u6f14\u5316\u3002\u5b83\u901a\u8fc7\u89e3\u8bfb\u8fd9\u4e9b\u6280\u80fd\u7684\u7ed3\u6784\u5316\u8f93\u51fa，\u6765\u5206\u89e3\u957f\u65f6\u7a0b\u6307\u4ee4\u3001\u4e3a\u5b50\u4efb\u52a1\u5206\u914d\u9002\u5b9c\u7684\u7b56\u7565，\u5e76\u534f\u8c03\u7b56\u7565\u95f4\u7684\u5fc5\u8981\u4ea4\u63a5\u3002\u5982\u56fe1\u6240\u793a，\u8fd9\u4e9b\u8f85\u52a9\u6280\u80fd\u5e76\u4e0d\u66ff\u4ee3\u5e95\u5c42\u63a7\u5236\u7b56\u7565，\u800c\u662f\u4e3a\u5b9e\u73b0\u201c\u5177\u5907\u80fd\u529b-\u89c9\u5bdf\u7279\u6027\u7684\u89c4\u5212\u201d\u4ee5\u53ca\u8de8\u4e0d\u540c\u6267\u884c\u5206\u5e03\u7684\u7a33\u5b9a\u7b56\u7565\u7f16\u6392，\u63d0\u4f9b\u6240\u9700\u7684\u4fe1\u606f\u3001\u8bb0\u5fc6\u548c\u9002\u5e94\u673a\u5236\u3002RoboHarness \u4fdd\u7559\u73b0\u6709\u7b56\u7565\u7684\u539f\u751f\u63a5\u53e3，\u4f7f\u5f97\u72ec\u7acb\u5f00\u53d1\u7684\u7b56\u7565\u80fd\u591f\u8fdb\u884c\u7ec4\u5408，\u800c\u65e0\u9700\u8054\u5408\u91cd\u8bad\u7ec3\u6216\u5171\u4eab\u52a8\u4f5c\u8868\u5f81\u3002
\n\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

1 \u7406\u89e3\u6280\u80fd<\/h3>\n

\u7406\u89e3\u6280\u80fd\u8fdb\u4e00\u6b65\u89e3\u8bfb RoboHarness \u53ef\u83b7\u53d6\u7684\u539f\u59cb\u8f93\u5165，\u5305\u62ec\u4efb\u52a1\u6307\u4ee4\u3001\u89c6\u89c9\u89c2\u6d4b\u3001\u4f30\u8ba1\u7684\u7269\u4f53\u4f4d\u59ff\u3001\u673a\u5668\u4eba\u72b6\u6001\u4ee5\u53ca\u4e2d\u95f4\u6267\u884c\u7ed3\u679c\u3002\u5176\u76ee\u7684\u4e0d\u4ec5\u9650\u4e8e\u573a\u666f\u8bc6\u522b，\u800c\u662f\u63d0\u53d6\u4e0e\u51b3\u7b56\u76f8\u5173\u7684\u4fe1\u606f，\u63ed\u793a\u5f53\u524d\u4efb\u52a1\u72b6\u6001\u4e0e\u53ef\u7528\u7b56\u7565\u7684\u80fd\u529b\u8fb9\u754c\u4e4b\u95f4\u7684\u5173\u7cfb\u3002RoboHarness \u76ee\u524d\u5305\u542b\u4e94\u79cd\u7406\u89e3\u6280\u80fd，\u5e76\u53ef\u5728\u9700\u8981\u989d\u5916\u4fe1\u606f\u65f6\u8fdb\u884c\u6269\u5c55\u3002\u4e0d\u786e\u5b9a\u6027\u8bc4\u4f30\u8ba1\u7b97\u6ed1\u52a8\u65f6\u95f4\u7a97\u53e3\u5185\u4f30\u8ba1\u7269\u4f53\u4f4d\u59ff\u7684\u5747\u503c\u4e0e\u65b9\u5dee，\u4ee5\u8861\u91cf\u65f6\u95f4\u7a33\u5b9a\u6027\u3002\u89c6\u89c9\u4e0a\u4e0b\u6587\u8bc4\u4f30\u5c06\u5f53\u524d\u89c2\u6d4b\u6295\u5f71\u5230\u6f5c\u7a7a\u95f4，\u5e76\u5c06\u5176\u4e0e\u7279\u5b9a\u7b56\u7565\u8bad\u7ec3\u8f68\u8ff9\u7684\u89c6\u89c9\u5d4c\u5165\u8fdb\u884c\u6bd4\u8f83\u3002\u8bed\u4e49\u4e0a\u4e0b\u6587\u8bc4\u4f30\u91c7\u7528\u7c7b\u4f3c\u65b9\u6cd5，\u5c06\u7f16\u7801\u540e\u7684\u4efb\u52a1\u6307\u4ee4\u53ca\u5019\u9009\u5b50\u4efb\u52a1\u4e0e\u5404\u7b56\u7565\u5173\u8054\u7684\u8bed\u8a00\u63cf\u8ff0\u8fdb\u884c\u6bd4\u5bf9\u3002\u72b6\u6001-\u7b56\u7565\u517c\u5bb9\u6027\u8bc4\u4f30\u5229\u7528\u201c\u8bb0\u5fc6\u6865\u201d（Memory Bridge）\u91cd\u5efa\u7684\u7a7a\u95f4\u5206\u5e03，\u5bf9\u5f53\u524d\u7684\u672b\u7aef\u6267\u884c\u5668\u4f4d\u59ff\u548c\u5173\u8282\u914d\u7f6e\u8fdb\u884c\u8bc4\u5206，\u4ece\u800c\u5224\u65ad\u673a\u5668\u4eba\u72b6\u6001\u662f\u5426\u5904\u4e8e\u4e0b\u4e00\u7b56\u7565\u7684\u5206\u5e03\u5185（in-distribution）\u533a\u57df\u3002\u8f93\u5165\u8d28\u91cf\u8bc4\u4f30\u8003\u5bdf\u56fe\u50cf\u6e05\u6670\u5ea6\u3001\u66dd\u5149\u3001\u566a\u58f0\u4ee5\u53ca\u4efb\u52a1\u76f8\u5173\u7269\u4f53\u7684\u53ef\u89c1\u5ea6，\u4ee5\u786e\u5b9a\u5f53\u524d\u89c2\u6d4b\u662f\u5426\u8db3\u591f\u53ef\u9760\u3002\u8fd9\u4e9b\u7406\u89e3\u6280\u80fd\u5171\u540c\u63d0\u4f9b\u7ed3\u6784\u5316\u7684\u3001\u4e0e\u4efb\u52a1\u76f8\u5173\u7684\u8bc1\u636e，\u800c\u8fd9\u4e9b\u8bc1\u636e\u4ec5\u51ed\u539f\u59cb\u8f93\u5165\u5f80\u5f80\u96be\u4ee5\u53ef\u9760\u5730\u63a8\u65ad\u51fa\u6765\u3002\u7f16\u7801\u667a\u4f53（coding agent）\u6309\u9700\u8c03\u7528\u76f8\u5173\u6280\u80fd，\u5e76\u7efc\u5408\u5206\u6790\u5176\u8f93\u51fa\u7ed3\u679c，\u4ece\u800c\u5206\u89e3\u4efb\u52a1\u5e76\u5c06\u5404\u5b50\u4efb\u52a1\u5206\u914d\u7ed9\u6700\u5408\u9002\u7684\u7b56\u7565\u3002<\/p>\n

2 \u8bb0\u5fc6\u6280\u80fd\u4e0e\u8bb0\u5fc6\u6865<\/h3>\n

\u8bb0\u5fc6\u6280\u80fd\u5305\u542b\u4e24\u4e2a\u7ec4\u6210\u90e8\u5206：\u591a\u6a21\u6001\u8bb0\u5fc6\u7ba1\u7406\u548c\u57fa\u4e8e\u8bb0\u5fc6\u7684\u7b56\u7565\u95f4\u6865\u63a5\u3002<\/p>\n

\u8bb0\u5fc6\u7ba1\u7406<\/h4>\n

\u8bb0\u5fc6\u5e93 M \u7ec4\u7ec7\u4e3a\u4e00\u7ec4\u7531\u8282\u70b9\u94fe\u63a5\u6784\u6210\u7684\u8f68\u8ff9\u3002\u8f68\u8ff9 \u03be = (n_1, . . . , n_L) \u7531 L \u4e2a\u6309\u65f6\u95f4\u987a\u5e8f\u6392\u5217\u7684\u8282\u70b9\u7ec4\u6210；\u5176\u4e2d\u6bcf\u4e2a\u8282\u70b9 n \u5b58\u50a8\u5b50\u4efb\u52a1\u6307\u4ee4 g(n)\u3001\u89c2\u6d4b o(n) \u548c\u673a\u5668\u4eba\u72b6\u6001\u5411\u91cf s(n)，\u4ee5\u53ca\u76f8\u5e94\u7684\u6587\u672c\u5d4c\u5165\u548c\u89c6\u89c9\u5d4c\u5165\u3002\u6b64\u5904，d_s \u8868\u793a\u673a\u5668\u4eba\u72b6\u6001\u8868\u5f81\u7684\u7ef4\u5ea6，\u800c e_text \u548c e_vis \u5206\u522b\u8868\u793a\u6587\u672c\u7f16\u7801\u5668\u548c\u89c6\u89c9\u7f16\u7801\u5668\u3002\u4ee4 V(M) \u8868\u793a\u5b58\u50a8\u5728 M \u4e2d\u7684\u6240\u6709\u8282\u70b9\u7684\u96c6\u5408\u3002\u7ed9\u5b9a\u67e5\u8be2\u5b50\u4efb\u52a1 g \u2208 G \u548c\u89c2\u6d4b o \u2208 O，RoboHarness \u5bf9 M \u4e2d\u7684\u8282\u70b9\u6267\u884c\u5206\u5c42\u68c0\u7d22\u3002<\/p>\n

\u5b83\u9996\u5148\u68c0\u7d22\u90a3\u4e9b\u5b58\u50a8\u7684\u6307\u4ee4\u4e0e g \u5728\u8bed\u4e49\u4e0a\u6700\u76f8\u5173\u7684\u8282\u70b9；\u968f\u540e，RoboHarness \u5c06\u67e5\u8be2\u89c2\u6d4b\u4e0e N~ \u4e2d\u8282\u70b9\u7684\u89c6\u89c9\u5d4c\u5165\u8fdb\u884c\u6bd4\u8f83，\u5e76\u68c0\u7d22\u51fa N；\u5c06\u6574\u4f53\u8bb0\u5fc6\u68c0\u7d22\u51fd\u6570\u8868\u793a\u4e3a Retrieve_M (g, o) = N，\u5176\u4e2d N \u662f\u7531\u4e0a\u8ff0\u5206\u5c42\u6587\u672c-\u89c6\u89c9\u68c0\u7d22\u8fc7\u7a0b\u8fd4\u56de\u7684\u8282\u70b9\u96c6\u5408\u3002\u6765\u81ea\u8fd9\u4e9b\u68c0\u7d22\u7684\u8282\u70b9\u4fe1\u606f\u4f1a\u88ab\u63d0\u4f9b\u7ed9\u4e0b\u6e38\u7684\u8f85\u52a9\u6280\u80fd，\u5e76\u7528\u4e8e\u6784\u5efa\u201c\u8bb0\u5fc6\u6865\u201d（Memory Bridge）\u3002<\/p>\n

\u6b64\u5916，RoboHarness \u8fd8\u7ef4\u62a4\u7740\u5168\u5c40\u5386\u53f2\u7edf\u8ba1\u6570\u636e，\u7528\u4e8e\u6c47\u603b\u4e0d\u540c\u4efb\u52a1\u4e2d\u7684\u7b56\u7565\u6267\u884c\u7ed3\u679c，\u4ece\u800c\u4e3a\u80fd\u529b\u8bc4\u4f30\u548c\u7b56\u7565\u5206\u914d\u63d0\u4f9b\u7ecf\u9a8c\u4f9d\u636e\u3002\u5728\u6bcf\u6b21\u6267\u884c（rollout）\u7ed3\u675f\u540e，\u5173\u8054\u8282\u70b9\u8f68\u8ff9\u4e0e\u6267\u884c\u7edf\u8ba1\u200b\u200b\u6570\u636e\u90fd\u4f1a\u6301\u7eed\u66f4\u65b0\u3002<\/p>\n

\u8bb0\u5fc6\u6865（Memory Bridge）\u8d1f\u8d23\u5904\u7406\u7b56\u7565\u95f4\u7684\u8f6c\u6362，\u5373\u5f53\u7b56\u7565 pi_{k_t} \u4ea7\u751f\u7684\u7ec8\u6b62\u89c2\u6d4b o_t \u4e0d\u5728\u7b56\u7565 pi_k_{t+1} \u6240\u652f\u6301\u7684\u8f93\u5165\u7a7a\u95f4 O_{k_{t+1} \u5185\u65f6\u7684\u60c5\u51b5\u3002\u5982\u56fe2 \u6240\u793a，\u7ed9\u5b9a\u5373\u5c06\u6267\u884c\u7684\u5b50\u4efb\u52a1 g_{t+1} \u548c\u89c2\u6d4b o_t，RoboHarness \u68c0\u7d22\u51fa\u4e00\u7ec4\u76f8\u5173\u7684\u951a\u70b9（anchor nodes），\u8bb0\u4e3a N_t = RetrieveM_+\u221e(g_t+1, o_t)\u3002\u57fa\u4e8e\u8fd9\u4e9b\u8282\u70b9，\u8bb0\u5fc6\u6865\u6784\u5efa\u4e00\u4e2a\u5c40\u90e8\u8fdb\u5ea6\u51fd\u6570，\u5e76\u751f\u6210\u4e00\u6761\u6865\u63a5\u8f68\u8ff9 b_t；\u8be5\u8f68\u8ff9\u5f15\u5bfc\u673a\u5668\u4eba\u5728\u8c03\u7528 pi_{k_{t+1）} \u4e4b\u524d，\u5148\u5230\u8fbe\u4e00\u4e2a\u89c2\u6d4b\u503c\u4f4d\u4e8e O_{k_{t+1}} \u8303\u56f4\u5185\u7684\u4ea4\u63a5\u72b6\u6001\u3002\u8be5\u8fc7\u7a0b\u5305\u542b\u4e09\u4e2a\u9636\u6bb5\u3002
\n\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u7a7a\u95f4\u5206\u5e03\u6784\u5efa\u3002\u8bbe N_t {n_{1,0}, dots, n_{K,0}}，\u5176\u4e2d K = |N_t|，n_{i,0} \u8868\u793a\u7b2c i \u4e2a\u68c0\u7d22\u7684\u8282\u70b9；\u8be5\u8282\u70b9\u88ab\u89c6\u4e3a\u951a\u70b9，\u4f5c\u4e3a\u8f68\u8ff9\u6269\u5c55\u548c\u8fdb\u5ea6\u8bc4\u5206\u7684\u65f6\u95f4\u53c2\u8003\u3002RoboHarness \u6cbf\u7740\u6bcf\u4e2a\u951a\u70b9\u5173\u8054\u7684\u8f68\u8ff9，\u5728\u65f6\u95f4\u8de8\u5ea6 l \u5185\u5411\u524d\u540e\u4e24\u4e2a\u65b9\u5411\u8fdb\u884c\u6269\u5c55\u3002\u8bbe n_{i,j} \u4e3a\u4e0e n_{i,0} \u5173\u8054\u4e14\u65f6\u95f4\u504f\u79fb\u91cf\u4e3a j \u2208 {\u2212l, . . . , l} \u7684\u8282\u70b9\u3002\u6bcf\u4e2a\u951a\u70b9\u7684\u5206\u503c\u8bbe\u4e3a\u96f6，\u800c\u5176\u5173\u8054\u8282\u70b9\u7684\u5206\u503c\u5219\u6839\u636e\u5176\u65f6\u95f4\u504f\u79fb\u91cf\u786e\u5b9a\u3002\u5177\u4f53\u800c\u8a00，RoboHarness \u6784\u5efa\u673a\u5668\u4eba\u72b6\u6001\u4e0e\u5206\u503c\u7684\u914d\u5bf9 (s_{i,j}, y_{i,j})，\u5176\u4e2ds_{i,j} \u662f\u5b58\u50a8\u5728 n_{i,j} \u4e2d\u7684\u673a\u5668\u4eba\u72b6\u6001，y_{i,j} \u662f\u5206\u914d\u7ed9\u8be5\u72b6\u6001\u7684\u8fdb\u5ea6\u5206\u503c\u3002\u8fd9\u4e9b\u914d\u5bf9\u7528\u4e8e\u8bad\u7ec3\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u8fdb\u5ea6\u4f30\u8ba1\u5668 f_{score}，\u8be5\u4f30\u8ba1\u5668\u9884\u6d4b\u72b6\u6001 s \u7684\u5c40\u90e8\u8fdb\u5ea6\u3002\u8bbeS_ret,t ={s_{i,j}} \u8868\u793a\u6269\u5c55\u540e\u7684\u673a\u5668\u4eba\u72b6\u6001\u6837\u672c\u96c6\u3002\u968f\u540e，RoboHarness \u6784\u5efa\u5c40\u90e8\u652f\u6301\u533a\u57df R_conf,t，\u8be5\u533a\u57df\u57fa\u4e8e\u72b6\u6001 s \u5230\u5176\u6700\u8fd1\u7684\u6269\u5c55\u8bb0\u5fc6\u72b6\u6001\u7684\u8ddd\u79bb\u6765\u5b9a\u4e49（\u5373 R_conf,t} \u9650\u5236\u5b66\u7684\u8fdb\u5ea6\u51fd\u6570，\u4f7f\u5176\u4ec5\u9002\u7528\u4e8e\u7531\u68c0\u7d22\u5230\u7684\u8bb0\u5fc6\u63d0\u4f9b\u5c40\u90e8\u652f\u6301\u7684\u72b6\u6001）\u3002<\/p>\n

\u7a7a\u95f4\u72b6\u6001\u8bc4\u5206\u3002 RoboHarness \u5229\u7528 f_score,t \u6765\u8bc4\u4f30 R_conf,t \u533a\u57df\u5185\u7684\u5019\u9009\u673a\u5668\u4eba\u72b6\u6001\u3002\u5c3d\u7ba1\u5728\u6267\u884c\u201c\u6865\u63a5\u201d（bridge）\u8f68\u8ff9\u7684\u8fc7\u7a0b\u4e2d\u53ef\u80fd\u4f1a\u7ecf\u8fc7\u8be5\u533a\u57df\u4e4b\u5916\u7684\u72b6\u6001，\u4f46\u8fd9\u4e9b\u72b6\u6001\u5e76\u4e0d\u88ab\u89c6\u4e3a\u6709\u6548\u7684\u4ea4\u63a5\u76ee\u6807，\u56e0\u4e3a\u5176\u8fdb\u5ea6\u4f30\u8ba1\u7f3a\u4e4f\u6765\u81ea\u6240\u68c0\u7d22\u8bb0\u5fc6\u7684\u5145\u5206\u652f\u6301\u3002\u5728 R_conf,t \u8303\u56f4\u5185，f_score,t(s) \u7684\u7b26\u53f7\u53cd\u6620\u72b6\u6001 s \u76f8\u5bf9\u4e8e\u6240\u68c0\u7d22\u951a\u70b9（anchors）\u7684\u4f30\u8ba1\u5c40\u90e8\u8fdb\u5ea6：\u6b63\u503c\u8868\u793a\u4efb\u52a1\u8fdb\u5ea6\u8f83\u6df1，\u8d1f\u503c\u5219\u8868\u793a\u4efb\u52a1\u8fdb\u5ea6\u8f83\u6d45\u3002\u56e0\u6b64，f_score,t \u8861\u91cf\u7684\u662f\u76f8\u5bf9\u8fdb\u5ea6，\u800c R_conf,t \u5219\u754c\u5b9a\u7531\u4e0b\u4e00\u9636\u6bb5\u7b56\u7565\u6240\u68c0\u7d22\u7684\u6267\u884c\u7ecf\u9a8c\u652f\u6301\u7684\u3001\u53ef\u63a5\u53d7\u7684\u4ea4\u63a5\u72b6\u6001\u96c6\u5408\u3002<\/p>\n

\u6865\u63a5\u8f68\u8ff9\u751f\u6210\u3002\u8bbe s_t \u8868\u793a\u7b56\u7565 \u03c0_k_t \u6267\u884c\u540e\u7684\u673a\u5668\u4eba\u72b6\u6001，\u5e76\u8bbe S_plan,t \u8868\u793a\u91c7\u7528\u7684\u8fd0\u52a8\u89c4\u5212\u5668\u80fd\u591f\u4ece s_t \u51fa\u53d1\u5e76\u53ef\u884c\u5730\u8fde\u63a5\u5230\u7684\u72b6\u6001\u96c6\u5408\u3002RoboHarness \u9009\u53d6\u4ea4\u63a5\u76ee\u6807\u673a\u5668\u4eba\u72b6\u6001\u3002\u201c\u652f\u6491\u7ea6\u675f\u201d\u786e\u4fdd\u6240\u9009\u76ee\u6807\u4f4d\u4e8e\u7531\u68c0\u7d22\u5230\u7684\u8bb0\u5fc6\u6240\u8868\u5f81\u7684\u6267\u884c\u5206\u5e03\u8303\u56f4\u5185，\u800c\u201c\u975e\u8d1f\u8bc4\u5206\u7ea6\u675f\u201d\u5219\u5c06\u76ee\u6807\u9650\u5236\u5728\u76f8\u5bf9\u4e8e\u68c0\u7d22\u5230\u7684\u951a\u70b9（anchors）\u5448\u73b0\u51fa\u5411\u524d\u8fdb\u5c55\u6001\u52bf\u7684\u72b6\u6001\u4e0a\u3002\u968f\u540e，RoboHarness \u8c03\u7528\u73b0\u6210\u7684\u8fd0\u52a8\u89c4\u5212\u7b56\u7565，\u751f\u6210\u4e00\u6761\u8fde\u63a5 s_t \u4e0e s*<\/sup>t \u7684\u53ef\u884c\u6865\u63a5\u8f68\u8ff9 b_t，\u5e76\u5728\u6b64\u57fa\u7840\u4e0a\u6267\u884c pi{k, t+1}\u3002\u7531\u6b64\u4ea7\u751f\u7684\u4ea4\u63a5\u8fc7\u7a0b（\u8fde\u540c\u76f8\u5173\u7684\u6307\u4ee4\u3001\u89c6\u89c9\u89c2\u6d4b\u53ca\u673a\u5668\u4eba\u72b6\u6001\u8f68\u8ff9）\u4f1a\u88ab\u5b58\u5165\u8bb0\u5fc6\u5e93 M \u4e2d；\u8fd9\u6837，\u5176\u4e2d\u7684\u8282\u70b9\u4fbf\u53ef\u901a\u8fc7 RetrieveM \u64cd\u4f5c\u88ab\u68c0\u7d22\u51fa\u6765，\u5e76\u590d\u7528\u4e8e\u7c7b\u4f3c\u7684\u7b56\u7565\u95f4\u8f6c\u6362\u573a\u666f\u3002<\/p>\n

3 \u81ea\u6211\u6f14\u5316\u6280\u80fd<\/h3>\n

\u81ea\u6211\u6f14\u5316\u6280\u80fd\u5229\u7528\u5728\u7ebf\u6267\u884c\u8fc7\u7a0b\u4e2d\u7684\u8bc1\u636e，\u901a\u8fc7\u56db\u79cd\u7c7b\u578b\u7684\u66f4\u65b0\u6765\u8c03\u6574 RoboHarness\u3002\u7b56\u7565\u9002\u914d（Policy adaptation）\u6574\u5408\u73b0\u6210\u7684\u9002\u914d\u65b9\u6cd5\u4ee5\u6269\u5c55\u5355\u4e2a\u7b56\u7565\u7684\u80fd\u529b，\u4f8b\u5982\u7528\u4e8e\u6293\u53d6\u59ff\u6001\u8c03\u6574\u7684 SIMPACT (Liu et al., 2026) \u548c\u7528\u4e8e\u5728\u7ebf\u5b66\u4e60\u65b0\u903b\u8f91\u8868\u793a\u7684 PDDLLM (Huang et al., 2025)\u3002\u7f16\u6392\u7cbe\u70bc（Harness refinement）\u5229\u7528\u7f16\u7801\u667a\u80fd\u4f53（coding agent）\u4fee\u6539\u7f16\u6392\u7ed3\u6784，\u5305\u62ec\u4efb\u52a1\u8def\u7531\u7b56\u7565\u3001\u6280\u80fd\u8c03\u7528\u89c4\u5219\u4ee5\u53ca\u6280\u80fd\u95f4\u7684\u534f\u4f5c\u65b9\u5f0f\u3002\u53c2\u6570\u8c03\u4f18（Parameter tuning）\u901a\u8fc7\u7f51\u683c\u641c\u7d22\u8c03\u6574\u8d85\u53c2\u6570，\u6db5\u76d6\u5185\u5b58\u68c0\u7d22\u8bbe\u7f6e\u3001\u72b6\u6001\u8bc4\u5206\u9608\u503c\u53ca\u6865\u63a5\u63a5\u53d7\u6807\u51c6\u3002\u5143\u6570\u636e\u66f4\u65b0（Metadata update）\u6839\u636e\u65b0\u89c2\u5bdf\u5230\u7684\u6210\u529f\u4e0e\u5931\u8d25\u6848\u4f8b，\u4fee\u8ba2\u7b56\u7565\u80fd\u529b\u7684\u5143\u6570\u636e\u3002\u5728\u4eff\u771f\u5b9e\u9a8c\u4e2d，\u8fd9\u56db\u79cd\u81ea\u6211\u6f14\u5316\u673a\u5236\u5747\u5904\u4e8e\u542f\u7528\u72b6\u6001，\u4f46\u66f4\u65b0\u4ec5\u5728\u7cfb\u7edf\u9047\u5230\u6301\u7eed\u6267\u884c\u5931\u8d25\u65f6\u89e6\u53d1，\u800c\u975e\u5728\u6bcf\u6b21\u6267\u884c\u5c1d\u8bd5\u540e\u90fd\u8fdb\u884c\u3002\u5728\u6b64\u7c7b\u60c5\u51b5\u4e0b，\u5185\u5b58\u6280\u80fd\u4f1a\u68c0\u7d22\u76f8\u5173\u7684\u5931\u8d25\u5386\u53f2\u4e0e\u6267\u884c\u8bc1\u636e\u5e76\u63d0\u4f9b\u7ed9\u7f16\u7801\u667a\u80fd\u4f53；\u968f\u540e，\u7f16\u7801\u667a\u4f53\u51b3\u5b9a\u5e94\u91c7\u7528\u7b56\u7565\u9002\u914d\u3001\u7f16\u6392\u7cbe\u70bc\u3001\u53c2\u6570\u8c03\u4f18\u3001\u5143\u6570\u636e\u66f4\u65b0\u4e2d\u7684\u54ea\u4e00\u79cd\u6216\u51e0\u79cd\u673a\u5236\u3002\u7ecf\u9a8c\u8bc1\u7684\u66f4\u65b0\u4f1a\u88ab\u4fdd\u7559\u5e76\u8de8\u8d8a\u540e\u7eed\u8bc4\u4f30\u56de\u5408\u6301\u7eed\u751f\u6548，\u4ece\u800c\u4f7f RoboHarness \u80fd\u591f\u79ef\u7d2f\u7ecf\u9a8c，\u5e76\u9010\u6b65\u9002\u5e94\u65b0\u7684\u4efb\u52a1\u3001\u7269\u4f53\u3001\u573a\u666f\u53ca\u73af\u5883\u3002<\/p>\n

4 \u4f5c\u4e3a\u667a\u4f53\u6280\u80fd\u7684\u5f02\u6784\u7b56\u7565<\/h3>\n

RoboHarness \u5c06\u6bcf\u79cd\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u5c01\u88c5\u4e3a\u53ef\u8c03\u7528\u7684\u201c\u667a\u4f53\u6280\u80fd\u201d，\u8be5\u6280\u80fd\u7531\u7b56\u7565\u672c\u8eab\u53ca\u5173\u8054\u7684\u201c\u7b56\u7565\u5361\u201d（policy card）\u6784\u6210\u3002\u6bcf\u79cd\u7b56\u7565\u4fdd\u7559\u5176\u539f\u751f\u7684\u5b9e\u73b0\u65b9\u5f0f\u3001\u8f93\u5165\u53ca\u8f93\u51fa，\u65e0\u9700\u7edf\u4e00\u7684\u52a8\u4f5c\u8868\u793a；\u4e0e\u6b64\u540c\u65f6，\u7b56\u7565\u5361\u8bb0\u5f55\u8be5\u7b56\u7565\u7684\u7c7b\u578b\u3001\u80fd\u529b\u3001\u63a5\u53e3\u8981\u6c42\u3001\u7ea6\u675f\u6761\u4ef6\u3001\u5047\u8bbe\u524d\u63d0\u3001\u8bad\u7ec3\u4efb\u52a1\u4ee5\u53ca\u603b\u7ed3\u6267\u884c\u7ed3\u679c\u7684\u5386\u53f2\u7edf\u8ba1\u6570\u636e\u3002\u7f16\u7801\u667a\u4f53\u8fd8\u80fd\u76f4\u63a5\u68c0\u67e5\u7b56\u7565\u7684\u5b9e\u73b0\u4ee3\u7801，\u4ece\u800c\u5728\u5143\u6570\u636e\u6458\u8981\u4e4b\u5916，\u8fdb\u4e00\u6b65\u63a8\u65ad\u7b56\u7565\u7684\u80fd\u529b\u4e0e\u517c\u5bb9\u6027\u3002\u8fd9\u79cd\u8868\u793a\u65b9\u5f0f\u4f7f\u5f97\u672c\u8d28\u8fe5\u5f02\u7684\u7b56\u7565（\u5982\u89c6\u89c9-\u8bed\u8a00\u52a8\u4f5c\u6a21\u578b VLA\u3001\u4efb\u52a1\u4e0e\u8fd0\u52a8\u89c4\u5212\u5668\u3001\u4e13\u7528\u5f3a\u5316\u5b66\u4e60\u7b56\u7565\u7b49）\u80fd\u591f\u5728\u89c4\u5212\u5c42\u9762\u8fdb\u884c\u6bd4\u8f83\u4e0e\u7ec4\u5408\u3002\u968f\u7740\u5185\u5b58\u4e2d\u4e0d\u65ad\u79ef\u7d2f\u65b0\u7684\u6267\u884c\u8bc1\u636e，RoboHarness \u4f1a\u6301\u7eed\u66f4\u65b0\u6bcf\u5f20\u7b56\u7565\u5361，\u4ee5\u7ec6\u5316\u5176\u80fd\u529b\u8fb9\u754c，\u5e76\u4e3a\u540e\u7eed\u7684\u89c4\u5212\u4e0e\u7b56\u7565\u5206\u914d\u63d0\u4f9b\u652f\u6301\u3002<\/p>\n

\n

1 \u5b9e\u9a8c\u7f6e<\/h3>\n

\u4eff\u771f\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u7684\u5f02\u6784\u7b56\u7565：\u9664\u975e\u53e6\u6709\u8bf4\u660e，RoboHarness \u914d\u5907\u4e09\u79cd\u80fd\u529b\u4e92\u8865\u4e14\u72ec\u7acb\u5f00\u53d1\u7684\u7b56\u7565：(1) \u5728 LIBERO-Spatial\u3001LIBERO-Goal\u3001LIBERO-Long \u548c LIBERO-Object \u4e0a\u8bad\u7ec3\u7684\u5f00\u6e90 \u03c00.5 \u68c0\u67e5\u70b9 (Black et al., 2025)；(2) \u5f00\u6e90 OpenVLA-OFT \u68c0\u67e5\u70b9 (Kim et al., 2025)，\u8be5\u68c0\u67e5\u70b9\u5229\u7528 RLinf (Zang et al., 2025) \u5e76\u5728 LIBERO-90 \u4efb\u52a1\u4e0a\u901a\u8fc7\u7ec4\u76f8\u5bf9\u7b56\u7565\u4f18\u5316 (GRPO) (Shao et al., 2024) \u8fdb\u884c\u4e86\u540e\u8bad\u7ec3；\u4ee5\u53ca (3) \u9488\u5bf9\u9884\u5b9a\u4e49\u7269\u4f53\u96c6\u4e0a\u7684\u51e0\u4f55\u7ea6\u675f\u6293\u53d6\u4e0e\u653e\u7f6e\u4efb\u52a1\u800c\u8bbe\u8ba1\u7684 TAMP（\u4efb\u52a1\u4e0e\u8fd0\u52a8\u89c4\u5212）\u89c4\u5212\u5668\u3002<\/p>\n

\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u7684\u4eff\u771f\u8bc4\u4f30：\u5728\u4e09\u4e2a\u8003\u5bdf RoboHarness \u4e0d\u540c\u4fa7\u9762\u7684\u516c\u5f00\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u5bf9\u5176\u8fdb\u884c\u8bc4\u4f30\u3002LIBERO \u8bc4\u4f30\u901a\u7528\u7684\u4efb\u52a1\u9075\u5faa\u6027\u80fd (Liu et al., 2023)，\u800c LIBERO-Plus \u8bc4\u4f30\u5206\u5e03\u5916 (OOD) \u9c81\u68d2\u6027\u4ee5\u53ca RoboHarness \u523b\u753b\u5176\u7ec4\u6210\u7b56\u7565\u80fd\u529b\u8fb9\u754c\u7684\u51c6\u786e\u5ea6 (Fei et al., 2025)\u3002LIBERO-LoHo \u9488\u5bf9\u96f6\u6837\u672c\u957f\u7a0b\u89c4\u5212，\u5176\u4efb\u52a1\u7684\u5e73\u5747\u65f6\u7a0b（horizo\u200b\u200bn）\u7ea6\u4e3a\u539f\u59cb LIBERO \u57fa\u51c6\u6d4b\u8bd5\u4efb\u52a1\u7684\u56db\u500d (Huang et al., 2026a)\u3002\u9664\u4e86\u4e0a\u8ff0\u57fa\u51c6\u6d4b\u8bd5\u5916，\u8fd8\u8bbe\u8ba1 500 \u4e2a\u6db5\u76d6 10 \u79cd\u4efb\u52a1\u7c7b\u578b\u7684\u66f4\u590d\u6742\u4eff\u771f\u4efb\u52a1，\u6bcf\u9879\u4efb\u52a1\u90fd\u9700\u8981\u96c6\u6210\u591a\u79cd\u5f02\u6784\u7b56\u7565\u3002\u7531\u4e8e\u73b0\u6709\u516c\u5f00\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u7684\u8bb8\u591a\u4efb\u52a1\u4ec5\u9760\u5355\u4e00\u7b56\u7565\u5373\u53ef\u89e3\u51b3，\u56e0\u6b64\u5b83\u4eec\u65e0\u6cd5\u5145\u5206\u8bc4\u4f30\u591a\u7b56\u7565\u96c6\u6210\u7684\u9c81\u68d2\u6027\u6216\u7b56\u7565\u95f4\u5207\u6362\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n

\u771f\u5b9e\u673a\u5668\u4eba\u5b9e\u9a8c：\u8fdb\u4e00\u6b65\u5f00\u5c55135 \u7ec4\u771f\u5b9e\u673a\u5668\u4eba\u5b9e\u9a8c，\u6db5\u76d6\u4e94\u7c7b\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u548c\u56db\u79cd\u7c7b\u578b\u7684\u5e72\u6270，\u6bcf\u9879\u5b9e\u9a8c\u5747\u8981\u6c42\u534f\u540c\u4f7f\u7528\u591a\u79cd\u5f02\u6784\u7b56\u7565\u3002\u7ed9\u5b9a\u53ef\u7528\u79ef\u6728\u548c\u8bed\u8a00\u6307\u4ee4，RoboHarness \u5fc5\u987b\u6839\u636e\u8981\u6c42\u7684\u7ed3\u6784\u8fdb\u884c\u63a8\u7406，\u5e76\u751f\u6210\u7ec4\u88c5\u8ba1\u5212，\u4ee5\u6784\u5efa\u8bf8\u5982\u77ee\u6865\u3001\u9ad8\u6865\u3001\u6c49\u5b57\u6216\u8239\u53ea\u7b49\u7ed3\u6784\u3002\u4e00\u4e9b\u5fc5\u8981\u7684\u79ef\u6728\u6700\u521d\u9690\u85cf\u5728\u67dc\u5b50\u91cc，\u8fd9\u5c31\u8981\u6c42\u673a\u5668\u4eba\u6253\u5f00\u67dc\u5b50，\u63a2\u67e5\u5185\u90e8\u7269\u54c1，\u5e76\u53d6\u56de\u7f3a\u5931\u7684\u79ef\u6728\u3002<\/p>\n

2 \u57fa\u7ebf\u65b9\u6cd5<\/h3>\n

\u5c06 RoboHarness \u4e0e\u6db5\u76d6\u4e09\u79cd\u4ee3\u8868\u6027\u65b9\u6cd5\u7c7b\u522b\u7684\u7efc\u5408\u57fa\u7ebf\u8fdb\u884c\u6bd4\u8f83\u3002VLA \u57fa\u7ebf\u5305\u62ec \u03c00.5 (Black et al., 2025)\u3001\u03c00 (Black et al., 2024)\u3001UniVLA (Bu et al., 2025)\u3001X-VLA (Zheng et al., 2025)\u3001OpenVLA-OFT (Kim et al., 2025) \u548c GR00T-N1.5 (Bjorck et al., 2025)\u3002\u8fdb\u4e00\u6b65\u8003\u5bdf\u4e09\u79cd\u4e16\u754c-\u52a8\u4f5c\u6a21\u578b（world-action models），\u5305\u62ec LingBot-VA (Li et al., 2026a)\u3001Fast-WAM (Yuan et al., 2026) \u548c Cosmos Policy (Kim et al., 2026)\u3002\u6b64\u5916，\u8fd8\u7eb3\u5165\u4e09\u79cd\u5206\u5c42\u89c4\u5212\u65b9\u6cd5：H-WM (Huang et al., 2026a)\u3001LLM-guided VLA (Shi et al., 2025) \u548c logic-guided VLA (Huang et al., 2026a)\u3002\u901a\u8fc7\u8fd9\u4e9b\u6bd4\u8f83，RoboHarness \u65e2\u4e0e\u7aef\u5230\u7aef\u7b56\u7565\u8fdb\u884c\u4e86\u5bf9\u6bd4，\u4e5f\u4e0e\u4e13\u95e8\u9488\u5bf9\u957f\u7a0b\u51b3\u7b56\u8bbe\u8ba1\u7684\u65b9\u6cd5\u8fdb\u884c\u5bf9\u6bd4\u3002\u8bc4\u4f30\u7ed3\u679c\u57fa\u4e8e Huang et al. (2026a) \u548c Zhang et al. (2026) \u7684\u57fa\u51c6\u6d4b\u8bd5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

26\u5e747\u6708\u6765\u81ea\u534e\u4e3a\u8bfa\u4e9a\u3001UBC\u3001Toronto\u5927\u5b66\u3001Mcgill\u5927\u5b66\u548c2012\u5b9e\u9a8c\u5ba4\u57fa\u7840\u6a21\u578b\u90e8\u7684\u8bba\u6587\u201cRoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning\u201d\u3002
\n\u957f\u65f6\u7a0b\u673a\u5668\u4eba\u4efb\u52a1\u9700\u8981\u591a\u79cd\u80fd\u529b，\u800c\u5355\u4e00\u7b56\u7565\u5f80\u5f80\u65e0\u6cd5\u53ef\u9760\u5730\u63d0\u4f9b\u6240\u6709\u8fd9\u4e9b\u80fd\u529b\u3002\u5f02\u6784\u7b56\u7565\u5404\u5177\u4f18\u52bf\u4e14\u4e92\u8865，\u4f46\u8981\u534f\u8c03\u8fd9\u4e9b\u7b56\u7565，\u5fc5\u987b\u5e94\u5bf9\u4e0d\u786e\u5b9a\u7684\u80fd\u529b<\/p>\n","protected":false},"author":2,"featured_media":90362,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,384,207,51],"topic":[],"class_list":["post-90364","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-384","tag-207","tag-51"],"yoast_head":"\nRoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/90364.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"26\u5e747\u6708\u6765\u81ea\u534e\u4e3a\u8bfa\u4e9a\u3001UBC\u3001Toronto\u5927\u5b66\u3001Mcgill\u5927\u5b66\u548c2012\u5b9e\u9a8c\u5ba4\u57fa\u7840\u6a21\u578b\u90e8\u7684\u8bba\u6587\u201cRoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning\u201d\u3002 \u957f\u65f6\u7a0b\u673a\u5668\u4eba\u4efb\u52a1\u9700\u8981\u591a\u79cd\u80fd\u529b，\u800c\u5355\u4e00\u7b56\u7565\u5f80\u5f80\u65e0\u6cd5\u53ef\u9760\u5730\u63d0\u4f9b\u6240\u6709\u8fd9\u4e9b\u80fd\u529b\u3002\u5f02\u6784\u7b56\u7565\u5404\u5177\u4f18\u52bf\u4e14\u4e92\u8865，\u4f46\u8981\u534f\u8c03\u8fd9\u4e9b\u7b56\u7565，\u5fc5\u987b\u5e94\u5bf9\u4e0d\u786e\u5b9a\u7684\u80fd\u529b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/90364.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-04T23:16:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260804231638-6a7272d62be19.png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/90364.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/90364.html\",\"name\":\"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-08-04T23:16:41+00:00\",\"dateModified\":\"2026-08-04T23:16:41+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/90364.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/90364.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/90364.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/90364.html","og_locale":"zh_CN","og_type":"article","og_title":"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"26\u5e747\u6708\u6765\u81ea\u534e\u4e3a\u8bfa\u4e9a\u3001UBC\u3001Toronto\u5927\u5b66\u3001Mcgill\u5927\u5b66\u548c2012\u5b9e\u9a8c\u5ba4\u57fa\u7840\u6a21\u578b\u90e8\u7684\u8bba\u6587\u201cRoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning\u201d\u3002 \u957f\u65f6\u7a0b\u673a\u5668\u4eba\u4efb\u52a1\u9700\u8981\u591a\u79cd\u80fd\u529b，\u800c\u5355\u4e00\u7b56\u7565\u5f80\u5f80\u65e0\u6cd5\u53ef\u9760\u5730\u63d0\u4f9b\u6240\u6709\u8fd9\u4e9b\u80fd\u529b\u3002\u5f02\u6784\u7b56\u7565\u5404\u5177\u4f18\u52bf\u4e14\u4e92\u8865，\u4f46\u8981\u534f\u8c03\u8fd9\u4e9b\u7b56\u7565，\u5fc5\u987b\u5e94\u5bf9\u4e0d\u786e\u5b9a\u7684\u80fd\u529b","og_url":"https:\/\/www.wsisp.com\/helps\/90364.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-08-04T23:16:41+00:00","og_image":[{"url":"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260804231638-6a7272d62be19.png"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"6 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/90364.html","url":"https:\/\/www.wsisp.com\/helps\/90364.html","name":"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-08-04T23:16:41+00:00","dateModified":"2026-08-04T23:16:41+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/90364.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/90364.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/90364.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"RoboHarness\uff1a\u9762\u5411\u957f\u65f6\u7a0b\u89c4\u5212\u5f02\u6784\u673a\u5668\u4eba\u7b56\u7565\u7684\u8bb0\u5fc6-\u9a71\u52a8\u7f16\u6392"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/90364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=90364"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/90364\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media\/90362"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=90364"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=90364"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=90364"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=90364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}