{"id":34674,"date":"2024-12-10T22:57:00","date_gmt":"2024-12-10T14:57:00","guid":{"rendered":"https:\/\/17aitech.com\/?p=34674"},"modified":"2024-12-10T22:57:00","modified_gmt":"2024-12-10T14:57:00","slug":"%e5%9c%a8%e6%9c%ba%e5%99%a8%e4%ba%ba%e9%a1%b6%e4%bc%9a-rss-2024-%e4%b8%8a%ef%bc%8c%e4%b8%ad%e5%9b%bd%e7%9a%84%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba%e7%a0%94%e7%a9%b6%e6%96%a9%e8%8e%b7%e6%9c%80","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34674","title":{"rendered":"\u5728\u673a\u5668\u4eba\u9876\u4f1a RSS 2024 \u4e0a\uff0c\u4e2d\u56fd\u7684\u4eba\u5f62\u673a\u5668\u4eba\u7814\u7a76\u65a9\u83b7\u6700\u4f73\u8bba\u6587\u5956"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-07-22-8\" target=\"_blank\">\u5728\u673a\u5668\u4eba\u9876\u4f1a RSS 2024 \u4e0a\uff0c\u4e2d\u56fd\u7684\u4eba\u5f62\u673a\u5668\u4eba\u7814\u7a76\u65a9\u83b7\u6700\u4f73\u8bba\u6587\u5956<\/a><\/p>\n<p>\u8fd1\u65e5\uff0c\u673a\u5668\u4eba\u9886\u57df\u8457\u540d\u4f1a\u8bae RSS\uff08Robotics: Science and Systems\uff09 2024 \u5728\u8377\u5170\u4ee3\u5c14\u592b\u7279\u7406\u5de5\u5927\u5b66\u5706\u6ee1\u843d\u5e55\u3002<\/p>\n<p>\u5c3d\u7ba1\u4f1a\u8bae\u89c4\u6a21\u4e0e NeurIPS\u3001CVPR \u7b49 AI \u9876\u4f1a\u65e0\u6cd5\u6bd4\u80a9\uff0c\u4f46 RSS \u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u957f\u8db3\u7684\u53d1\u5c55\uff0c\u4eca\u5e74\u7684\u53c2\u4f1a\u4eba\u6570\u63a5\u8fd1 900 \u4eba\u3002<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e6a223a7e729d3a5d28967478a757eeb.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e6a223a7e729d3a5d28967478a757eeb.png\"><\/a><\/p>\n<p>\u5728\u5927\u4f1a\u7684\u6700\u540e\u4e00\u5929\uff0c\u6700\u4f73\u8bba\u6587\u3001\u6700\u4f73\u5b66\u751f\u8bba\u6587\u3001\u6700\u4f73\u7cfb\u7edf\u8bba\u6587\u3001\u6700\u4f73 Demo \u8bba\u6587\u7b49\u591a\u4e2a\u5956\u9879\u540c\u65f6\u51fa\u7089\u3002\u6b64\u5916\uff0c\u5927\u4f1a\u8fd8\u8bc4\u9009\u51fa\u4e86\u300c\u65e9\u671f\u804c\u4e1a Spotlight \u5956\u300d\u548c\u300c\u65f6\u95f4\u68c0\u9a8c\u5956\u300d\u3002<\/p>\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u6765\u81ea<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u548c\u5317\u4eac\u661f\u52a8\u7eaa\u5143\u79d1\u6280\u6709\u9650\u516c\u53f8\u7684\u4eba\u5f62\u673a\u5668\u4eba\u7814\u7a76\u83b7\u5f97\u4e86\u6700\u4f73\u8bba\u6587\u5956\uff0c\u534e\u4eba\u5b66\u8005 Ji Zhang \u83b7\u5f97\u4e86\u672c\u6b21\u65f6\u95f4\u68c0\u9a8c\u5956\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u83b7\u5956\u8bba\u6587\u4fe1\u606f\u4ecb\u7ecd\uff1a<\/p>\n<p><strong>\u6700\u4f73 Demo \u8bba\u6587\u5956<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-3c3f5126b8afe3a8ff4c402bd1f37f56.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-3c3f5126b8afe3a8ff4c402bd1f37f56.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aDemonstrating CropFollow++: Robust Under-Canopy Navigation with Keypoints<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aArun Narenthiran Sivakumar, Mateus Valverde Gasparino, Michael McGuire, Vitor Akihiro Hisano Higuti, M. Ugur Akcal, Girish Chowdhary<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1aUIUC\u3001Earth Sense<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/enriquecoronadozu.github.io\/rssproceedings2024\/rss20\/p023.pdf<\/p>\n<\/li>\n<\/ul>\n<p>\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u7ecf\u9a8c\u7684\u9c81\u68d2\u6027\u89c6\u89c9\u5bfc\u822a\u7cfb\u7edf\uff0c\u7528\u4e8e\u4f7f\u7528\u8bed\u4e49\u5173\u952e\u70b9\u7684\u4f5c\u7269\u51a0\u4e0b\u519c\u4e1a\u673a\u5668\u4eba\u3002<\/p>\n<p>\u7531\u4e8e\u4f5c\u7269\u884c\u95f4\u8ddd\u8f83\u5c0f\uff08\u223c 0.75 \u7c73\uff09\u3001\u591a\u5f84\u8bef\u5dee\u5bfc\u81f4 RTK-GPS \u7cbe\u5ea6\u4e0b\u964d\u4ee5\u53ca\u6742\u6ce2\u8fc7\u591a\u5bfc\u81f4<mark data-type=\"tech_methods\" 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data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u67b6\u6784\u548c\u5b66\u4e60\u7684\u8bed\u4e49\u5173\u952e\u70b9\u8868\u793a\u6cd5\u3002\u4e0e CropFollow \u76f8\u6bd4\uff0cCropFollow++ \u7684\u6a21\u5757\u5316\u7a0b\u5ea6\u66f4\u9ad8\u3001\u53ef\u89e3\u91ca\u6027\u66f4\u5f3a\uff0c\u5e76\u63d0\u4f9b\u4e86\u68c0\u6d4b\u95ed\u585e\u7684\u7f6e\u4fe1\u5ea6\u3002CropFollow++ \u5728\u5177\u6709\u6311\u6218\u6027\u7684\u665a\u5b63\u7530\u95f4\u6d4b\u8bd5\u4e2d\u7684\u8868\u73b0\u660e\u663e\u4f18\u4e8e CropFollow\uff0c\u6bcf\u4e2a\u7530\u95f4\u6d4b\u8bd5\u8de8\u5ea6\u8fbe 1.9 \u5343\u7c73\uff0c\u6240\u9700\u7684\u78b0\u649e\u6b21\u6570\u4e3a 13 \u6b21\u5bf9 33 \u6b21\u3002\u7814\u7a76\u8005\u8fd8\u5728\u4e0d\u540c\u7684\u7530\u95f4\u6761\u4ef6\u4e0b\uff0c\u5c06 CropFollow++ \u5927\u89c4\u6a21\u90e8\u7f72\u5728\u591a\u4e2a\u4f5c\u7269\u51a0\u4e0b\u8986\u76d6\u4f5c\u7269\u79cd\u690d\u673a\u5668\u4eba\u4e2d\uff08\u603b\u957f 25 \u516c\u91cc\uff09\uff0c\u5e76\u8ba8\u8bba\u4e86\u4ece\u4e2d\u6c72\u53d6\u7684\u4e3b\u8981\u7ecf\u9a8c\u6559\u8bad\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-028fb708d7f8d882f1a42d434ef5f013.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-028fb708d7f8d882f1a42d434ef5f013.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aDemonstrating Agile Flight from Pixels without State Estimation<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1asmail Geles, Leonard Bauersfeld, Angel Romero, Jiaxu Xing, Davide Scaramuzza<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/enriquecoronadozu.github.io\/rssproceedings2024\/rss20\/p082.pdf<\/p>\n<\/li>\n<\/ul>\n<p>\u56db\u65cb\u7ffc<mark data-type=\"tech_tasks\" 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\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u8ba1\u7b97\u590d\u6742\u6027\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u95e8\u7684\u5185\u8fb9\u7f18\u4f5c\u4e3a\u4f20\u611f\u5668\u62bd\u8c61\u3002\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u65e0\u9700\u6e32\u67d3\u56fe\u50cf\u5c31\u80fd\u6a21\u62df\u8fd9\u79cd\u7b80\u5355\u800c\u5f3a\u5927\u7684\u4efb\u52a1\u76f8\u5173\u8868\u793a\u6cd5\u3002\u5728\u90e8\u7f72\u8fc7\u7a0b\u4e2d\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u4e86\u57fa\u4e8e Swin Transformer \u7684\u95e8\u68c0\u6d4b\u5668\u3002<\/p>\n<p>\u672c\u6587\u65b9\u6cd5\u53ef\u4ee5\u5229\u7528\u6807\u51c6\u7684\u3001\u73b0\u6210\u7684\u786c\u4ef6\u5b9e\u73b0\u81ea\u4e3b\u654f\u6377\u98de\u884c\u3002\u867d\u7136\u6f14\u793a\u4fa7\u91cd\u4e8e<mark data-type=\"tech_tasks\" data-id=\"b703c52f-3ee7-468e-9324-ba58be537c80\">\u65e0\u4eba\u673a<\/mark>\u7ade\u8d5b\uff0c\u4f46\u8be5\u65b9\u6cd5\u7684\u5f71\u54cd\u5df2\u7ecf\u8d85\u51fa\u4e86\u7ade\u8d5b\u8303\u56f4\uff0c\u53ef\u4ee5\u4f5c\u4e3a\u672a\u6765\u7814\u7a76\u7ed3\u6784\u5316\u73af\u5883\u4e2d\u771f\u5b9e\u4e16\u754c\u5e94\u7528\u7684\u57fa\u7840\u3002<\/p>\n<p><strong>\u6700\u4f73\u7cfb\u7edf\u8bba\u6587\u5956<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-35ca25cf93b5693055e653c0e069fe82.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-35ca25cf93b5693055e653c0e069fe82.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aUniversal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots<\/p>\n<\/li>\n<li>\n<p>Cheng Chi, Zhenjia Xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, Shuran Song<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u65af\u5766\u798f\u5927\u5b66\u3001\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\u3001\u4e30\u7530\u7814\u7a76\u9662<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2402.10329<\/p>\n<\/li>\n<\/ul>\n<p>\u672c\u6587\u4ecb\u7ecd\u4e86\u901a\u7528\u64cd\u7eb5\u754c\u9762\uff08UMI\uff09\uff0c\u4e00\u79cd\u6570\u636e\u6536\u96c6\u548c\u7b56\u7565\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u5c06\u91ce\u5916\u4eba\u7c7b\u6f14\u793a\u7684\u6280\u80fd\u76f4\u63a5\u8f6c\u79fb\u5230\u53ef\u90e8\u7f72\u7684\u673a\u5668\u4eba\u7b56\u7565\u4e2d\u3002UMI \u91c7\u7528\u624b\u6301\u5f0f\u6293\u624b\u548c\u7cbe\u5fc3\u7684\u754c\u9762\u8bbe\u8ba1\uff0c\u53ef\u4e3a\u5177\u6709\u6311\u6218\u6027\u7684\u53cc\u81c2\u548c\u52a8\u6001\u64cd\u7eb5\u6f14\u793a\u63d0\u4f9b\u4fbf\u643a\u5f0f\u3001\u4f4e\u6210\u672c\u548c\u4fe1\u606f\u4e30\u5bcc\u7684\u6570\u636e\u6536\u96c6\u3002\u4e3a\u4e86\u4fc3\u8fdb\u53ef\u90e8\u7f72\u7684\u7b56\u7565\u5b66\u4e60\uff0cUMI \u91c7\u7528\u4e86\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u7b56\u7565\u754c\u9762\uff0c\u5177\u6709\u63a8\u7406\u65f6\u95f4\u5ef6\u8fdf\u5339\u914d\u548c\u76f8\u5bf9\u8f68\u8ff9\u52a8\u4f5c\u8868\u793a\u529f\u80fd\u3002\u5b66\u4e60\u5230\u7684\u7b56\u7565\u4e0e\u786c\u4ef6\u65e0\u5173\uff0c\u53ef\u5728\u591a\u4e2a\u673a\u5668\u4eba\u5e73\u53f0\u4e0a\u90e8\u7f72\u3002\u6709\u4e86\u8fd9\u4e9b\u529f\u80fd\uff0cUMI \u6846\u67b6\u5c31\u80fd\u91ca\u653e\u65b0\u7684\u673a\u5668\u4eba\u64cd\u7eb5\u80fd\u529b\uff0c\u53ea\u9700\u6539\u53d8\u6bcf\u4e2a\u4efb\u52a1\u7684\u8bad\u7ec3\u6570\u636e\uff0c\u5c31\u80fd\u5b9e\u73b0\u96f6\u6837\u672c\u6cdb\u5316\u52a8\u6001\u3001\u53cc\u81c2\u3001\u7cbe\u786e\u548c\u957f\u89c6\u91ce\u884c\u4e3a\u3002\u7814\u7a76\u8005\u901a\u8fc7\u5168\u9762\u7684\u771f\u5b9e\u4e16\u754c\u5b9e\u9a8c\u8bc1\u660e\u4e86 UMI \u7684\u591a\u529f\u80fd\u6027\u548c\u6709\u6548\u6027\uff0c\u5728\u8fd9\u4e9b\u5b9e\u9a8c\u4e2d\uff0c\u901a\u8fc7 UMI \u96f6\u5c04\u9891\u5b66\u4e60\u5230\u7684\u7b56\u7565\u5728\u4e0d\u540c\u7684\u4eba\u7c7b\u6f14\u793a\u8bad\u7ec3\u4e2d\u53ef\u6cdb\u5316\u5230\u65b0\u7684\u73af\u5883\u548c\u7269\u4f53\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-5c5ff7a27703b1aca6fd2fa3d638aac7.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-5c5ff7a27703b1aca6fd2fa3d638aac7.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aKhronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aLukas Schmid, Marcus Abate, Yun Chang, Luca Carlone<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2402.13817<\/p>\n<\/li>\n<\/ul>\n<p><mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u548c\u7406\u89e3\u9ad8\u5ea6\u52a8\u6001\u548c\u4e0d\u65ad\u53d8\u5316\u7684\u73af\u5883\u662f\u673a\u5668\u4eba\u81ea\u4e3b\u6027\u7684\u5173\u952e\u80fd\u529b\u3002\u867d\u7136\u5728\u5f00\u53d1\u80fd\u51c6\u786e\u4f30\u8ba1\u673a\u5668\u4eba\u59ff\u6001\u7684\u52a8\u6001 SLAM \u65b9\u6cd5\u65b9\u9762\u53d6\u5f97\u4e86\u957f\u8db3\u8fdb\u6b65\uff0c\u4f46\u5728\u6784\u5efa\u5bc6\u96c6\u7684\u673a\u5668\u4eba\u73af\u5883\u65f6\u7a7a\u8868\u5f81\u65b9\u9762\u5374\u91cd\u89c6\u4e0d\u591f\u3002\u8be6\u7ec6\u4e86\u89e3\u573a\u666f\u53ca\u5176\u968f\u65f6\u95f4\u7684\u6f14\u53d8\u5bf9\u4e8e\u673a\u5668\u4eba\u7684\u957f\u671f\u81ea\u4e3b\u6027\u81f3\u5173\u91cd\u8981\uff0c\u5bf9\u4e8e\u9700\u8981\u957f\u671f\u63a8\u7406\u7684\u4efb\u52a1\u4e5f\u81f3\u5173\u91cd\u8981\uff0c\u4f8b\u5982\u5728\u4e0e\u4eba\u7c7b\u548c\u5176\u4ed6 Agent \u5171\u4eab\u7684\u73af\u5883\u4e2d\u6709\u6548\u8fd0\u884c\uff0c\u56e0\u6b64\u4f1a\u53d7\u5230\u77ed\u671f\u548c\u957f\u671f\u52a8\u6001\u53d8\u5316\u7684\u5f71\u54cd\u3002<\/p>\n<p>\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u4e00\u6311\u6218\uff0c\u8fd9\u9879\u7814\u7a76\u5b9a\u4e49\u4e86\u65f6\u7a7a\u5ea6\u91cf &#8211; \u8bed\u4e49 SLAM\uff08SMS\uff09\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e2a\u6709\u6548\u5206\u89e3\u548c\u89e3\u51b3\u8be5\u95ee\u9898\u7684\u6846\u67b6\u3002\u7814\u7a76\u8868\u660e\uff0c\u6240\u63d0\u51fa\u7684\u56e0\u5b50\u5316\u5efa\u8bae\u4e86\u4e00\u79cd\u65f6\u7a7a<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u7cfb\u7edf\u7684\u81ea\u7136\u7ec4\u7ec7\u5f62\u5f0f\uff0c\u5176\u4e2d\u4e00\u4e2a\u5feb\u901f\u8fdb\u7a0b\u8ddf\u8e2a\u6d3b\u52a8\u65f6\u95f4\u7a97\u53e3\u4e2d\u7684\u77ed\u671f\u52a8\u6001\uff0c\u800c\u53e6\u4e00\u4e2a\u6162\u901f\u8fdb\u7a0b\u5219\u5229\u7528\u56e0\u5b50\u56fe\u8868\u8ff0\u5bf9\u73af\u5883\u4e2d\u7684\u957f\u671f\u53d8\u5316\u8fdb\u884c\u63a8\u7406\u3002\u7814\u7a76\u8005\u63d0\u4f9b\u4e86\u4e00\u79cd\u9ad8\u6548\u7684\u65f6\u7a7a<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u65b9\u6cd5 Khronos\uff0c\u5e76\u8bc1\u660e\u5b83\u7edf\u4e00\u4e86\u5bf9\u77ed\u671f\u548c\u957f\u671f\u52a8\u6001\u7684\u73b0\u6709\u89e3\u91ca\uff0c\u80fd\u591f\u5b9e\u65f6\u6784\u5efa\u5bc6\u96c6\u7684\u65f6\u7a7a\u5730\u56fe\u3002<\/p>\n<p>\u8bba\u6587\u63d0\u4f9b\u7684\u6a21\u62df\u548c\u5b9e\u9645\u7ed3\u679c\u8868\u660e\uff0cKhronos \u6784\u5efa\u7684\u65f6\u7a7a\u5730\u56fe\u80fd\u591f\u51c6\u786e\u53cd\u6620\u4e09\u7ef4\u573a\u666f\u7684\u65f6\u95f4\u53d8\u5316\uff0c\u800c\u4e14 Khronos \u5728\u591a\u4e2a\u6307\u6807\u4e0a\u90fd\u4f18\u4e8e\u57fa\u7ebf\u3002<\/p>\n<p><strong>\u6700\u4f73\u5b66\u751f\u8bba\u6587\u5956<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-1d924dfad2289db5db909b8c69e58c33.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-1d924dfad2289db5db909b8c69e58c33.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aDynamic On-Palm Manipulation via Controlled Sliding<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aWilliam Yang, Michael Posa<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u5bbe\u5915\u6cd5\u5c3c\u4e9a\u5927\u5b66<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2405.08731<\/p>\n<\/li>\n<\/ul>\n<p>\u5f53\u524d\uff0c\u5bf9\u673a\u5668\u4eba\u6267\u884c\u975e\u6293\u53d6\u6027\u52a8\u4f5c\u7684\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u5728\u9759\u6001\u63a5\u89e6\u4e0a\uff0c\u4ee5\u89c4\u907f\u6ed1\u52a8\u53ef\u80fd\u5e26\u6765\u7684\u95ee\u9898\u3002\u4f46\u662f\uff0c\u5982\u679c\u6839\u672c\u4e0a\u6d88\u9664\u4e86\u300c\u624b\u6ed1\u300d\u7684\u95ee\u9898\uff0c\u5373\u80fd\u63a7\u5236\u63a5\u89e6\u65f6\u7684\u6ed1\u52a8\uff0c\u8fd9\u5c06\u4e3a\u673a\u5668\u4eba\u80fd\u505a\u7684\u52a8\u4f5c\u5f00\u8f9f\u65b0\u9886\u57df\u3002<\/p>\n<p>\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u4e00\u9879\u6311\u6218\u6027\u7684\u52a8\u6001\u975e\u6293\u53d6\u64cd\u4f5c\u4efb\u52a1\uff0c\u8be5\u4efb\u52a1\u9700\u8981\u7efc\u5408\u8003\u8651\u5404\u79cd\u6df7\u5408\u63a5\u89e6\u6a21\u5f0f\u3002\u7814\u7a76\u8005\u91c7\u7528\u4e86\u6700\u65b0\u7684\u9690\u5f0f\u63a5\u89e6\u6a21\u578b\u9884\u6d4b\u63a7\u5236\uff08MPC\uff09\u6280\u672f\uff0c\u5e2e\u52a9\u673a\u5668\u4eba\u8fdb\u884c\u591a\u6a21\u5f0f<mark data-type=\"tech_tasks\" data-id=\"3f5eac69-dad3-43e7-9022-40dcf97a1892\">\u89c4\u5212<\/mark>\uff0c\u4ee5\u5b8c\u6210\u5404\u9879\u4efb\u52a1\u3002\u8bba\u6587\u8be6\u7ec6\u63a2\u8ba8\u4e86\u5982\u4f55\u5c06\u7528\u4e8e MPC \u7684\u7b80\u5316\u6a21\u578b\u4e0e\u4f4e\u7ea7\u8ddf\u8e2a\u63a7\u5236\u5668\u76f8\u6574\u5408\uff0c\u4ee5\u53ca\u5982\u4f55\u4f7f\u9690\u5f0f\u63a5\u89e6 MPC \u9002\u5e94\u4e8e\u52a8\u6001\u4efb\u52a1\u7684\u9700\u6c42\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f3330f3c28bfd42038e6653411f98eba.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f3330f3c28bfd42038e6653411f98eba.gif\"><\/a><\/p>\n<p>\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u662f\uff0c\u5c3d\u7ba1\u4f17\u6240\u5468\u77e5\uff0c\u6469\u64e6\u548c\u521a\u6027\u63a5\u89e6\u6a21\u578b\u5f80\u5f80\u4e0d\u51c6\u786e\uff0c\u4f46\u8fd9\u7bc7\u8bba\u6587\u7684\u65b9\u6cd5\u80fd\u591f\u5bf9\u8fd9\u4e9b\u4e0d\u51c6\u786e\u6027\u505a\u51fa\u7075\u654f\u53cd\u5e94\uff0c\u540c\u65f6\u5feb\u901f\u5b8c\u6210\u4efb\u52a1\u3002\u800c\u4e14\uff0c\u7814\u7a76\u8005\u6ca1\u6709\u4f7f\u7528\u4e8e\u5e38\u89c1\u7684\u8f85\u52a9\u5de5\u5177\uff0c\u4f8b\u5982\u53c2\u8003\u8f68\u8ff9\u6216\u8fd0\u52a8\u57fa\u5143<mark data-type=\"concepts\" data-id=\"3b2df68d-c35f-48d1-beb0-82762405537c\">\u8f85\u52a9\u673a\u5668\u4eba<\/mark>\u5b8c\u6210\u4efb\u52a1\uff0c\u8fd9\u8fdb\u4e00\u6b65\u51f8\u663e\u4e86\u8be5\u65b9\u6cd5\u7684\u901a\u7528\u6027\u3002\u8fd9\u662f\u9690\u5f0f\u63a5\u89e6 MPC \u6280\u672f\u9996\u6b21\u88ab\u5e94\u7528\u4e8e\u4e09\u7ef4\u7a7a\u95f4\u4e2d\u7684\u52a8\u6001\u64cd\u4f5c\u4efb\u52a1\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-40e9c637d6141d07c54506301110b40d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-40e9c637d6141d07c54506301110b40d.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aAgile But Safe: Learning Collision-Free High-Speed Legged Locomotion<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aTairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1aCMU\u3001\u745e\u58eb\u82cf\u9ece\u4e16\u8054\u90a6\u7406\u5de5\u5b66\u9662<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2401.17583<\/p>\n<\/li>\n<\/ul>\n<p>\u56db\u8db3\u673a\u5668\u4eba\u5728\u6742\u4e71\u7684\u73af\u5883\u4e2d\u7a7f\u884c\u65f6\uff0c\u9700\u8981\u540c\u65f6\u5177\u5907\u7075\u6d3b\u6027\u548c\u5b89\u5168\u6027\u3002\u5b83\u4eec\u9700\u8981\u65e2\u80fd\u591f\u654f\u6377\u5730\u5b8c\u6210\u4efb\u52a1\uff0c\u53c8\u8981\u907f\u514d\u4e0e\u4eba\u6216\u969c\u788d\u7269\u76f8\u649e\u3002\u4e0d\u8fc7\uff0c\u73b0\u6709\u7684\u7814\u7a76\u5f80\u5f80\u53ea\u6ce8\u91cd\u5176\u4e2d\u4e00\u65b9\u9762\uff1a\u8981\u4e48\u662f\u4e3a\u4e86\u5b89\u5168\u800c\u8bbe\u8ba1\u901f\u5ea6\u4e0d\u8d85\u8fc7 1.0 \u7c73 \/ \u79d2\u7684\u4fdd\u5b88\u63a7\u5236\u5668\uff0c\u8981\u4e48\u662f\u8ffd\u6c42\u7075\u6d3b\u6027\u5374\u5ffd\u89c6\u4e86\u53ef\u80fd\u81f4\u547d\u7684\u78b0\u649e\u95ee\u9898\u3002<\/p>\n<p>\u8fd9\u7bc7\u8bba\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a\u300c\u65e2\u654f\u6377\u53c8\u5b89\u5168\u300d\u7684\u63a7\u5236\u6846\u67b6\u3002\u8fd9\u4e2a\u6846\u67b6\u8ba9\u56db\u8db3\u673a\u5668\u4eba\u5728\u4fdd\u6301\u7075\u6d3b\u6027\u7684\u540c\u65f6\uff0c\u4e5f\u80fd\u5b89\u5168\u5730\u907f\u5f00\u969c\u788d\u7269\u548c\u4eba\uff0c\u5b9e\u73b0\u65e0\u78b0\u649e\u7684\u884c\u8d70\u3002<\/p>\n<p>ABS \u5305\u62ec\u4e24\u5957\u7b56\u7565\uff1a\u4e00\u5957\u662f\u6559\u673a\u5668\u4eba\u5982\u4f55\u5728\u969c\u788d\u7269\u4e4b\u95f4\u7075\u6d3b\u654f\u6377\u5730\u7a7f\u68ad\uff0c\u53e6\u4e00\u5957\u5219\u662f\u4e07\u4e00\u9047\u5230\u95ee\u9898\uff0c\u5982\u4f55\u5feb\u901f\u6062\u590d\uff0c\u4fdd\u8bc1\u673a\u5668\u4eba\u4e0d\u4f1a\u6454\u5012\u6216\u8005\u649e\u5230\u4e1c\u897f\u3002\u4e24\u5957\u7b56\u7565\u4e92\u76f8\u914d\u5408\u3002<\/p>\n<p>\u5728 ABS \u7cfb\u7edf\u4e2d\uff0c\u7b56\u7565\u7684\u5207\u6362\u7531\u4e00\u4e2a\u57fa\u4e8e\u5b66\u4e60\u578b<mark data-type=\"concepts\" data-id=\"3a25c5c2-18b8-4aeb-8e2b-6b37a16f1234\">\u63a7\u5236\u7406\u8bba<\/mark>\u7684\u907f\u78b0\u4ef7\u503c\u7f51\u7edc\u6765\u63a7\u5236\u3002\u8fd9\u4e2a\u7f51\u7edc\u4e0d\u4ec5\u51b3\u5b9a\u4e86\u4f55\u65f6\u5207\u6362\u7b56\u7565\uff0c\u8fd8\u4e3a\u6062\u590d\u7b56\u7565\u63d0\u4f9b\u4e86\u4e00\u4e2a<mark data-type=\"concepts\" data-id=\"a3ee878c-7013-408b-8e6b-7b1038057f8f\">\u76ee\u6807\u51fd\u6570<\/mark>\uff0c\u786e\u4fdd\u673a\u5668\u4eba\u5728\u95ed\u73af\u63a7\u5236\u7cfb\u7edf\u4e2d\u59cb\u7ec8\u4fdd\u6301\u5b89\u5168\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u673a\u5668\u4eba\u80fd\u591f\u5728\u590d\u6742\u73af\u5883\u4e2d\u7075\u6d3b\u5e94\u5bf9\u5404\u79cd\u60c5\u51b5\u3002<\/p>\n<p>\u4e3a\u4e86\u8bad\u7ec3\u8fd9\u4e9b\u7b56\u7565\u548c\u7f51\u7edc\uff0c\u7814\u7a76\u8005\u4eec\u5728\u6a21\u62df\u73af\u5883\u4e2d\u8fdb\u884c\u4e86\u5927\u91cf\u8bad\u7ec3\uff0c\u5305\u62ec\u654f\u6377\u7b56\u7565\u3001\u907f\u78b0\u4ef7\u503c\u7f51\u7edc\u3001\u6062\u590d\u7b56\u7565\uff0c\u4ee5\u53ca\u5916\u90e8<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u8868\u793a\u7f51\u7edc\u7b49\u7b49\u3002\u8fd9\u4e9b\u7ecf\u8fc7\u8bad\u7ec3\u7684\u6a21\u5757\u53ef\u4ee5\u76f4\u63a5\u5e94\u7528\u5230\u73b0\u5b9e\u4e16\u754c\u4e2d\uff0c\u914d\u5408\u673a\u5668\u4eba\u81ea\u8eab\u7684<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u548c\u8ba1\u7b97\u80fd\u529b\uff0c\u65e0\u8bba\u673a\u5668\u4eba\u662f\u5728\u5ba4\u5185\u8fd8\u662f\u53d7\u9650\u7684\u5ba4\u5916\u7a7a\u95f4\uff0c\u65e0\u8bba\u662f\u9762\u5bf9\u4e0d\u4f1a\u52a8\u7684\u8fd8\u662f\u80fd\u52a8\u7684\u969c\u788d\u7269\uff0c\u90fd\u80fd\u5728 ABS \u6846\u67b6\u4e0b\u5feb\u901f\u3001\u5b89\u5168\u5730\u884c\u52a8\u3002<\/p>\n<p>\u60f3\u4e86\u89e3\u66f4\u591a\u7ec6\u8282\uff0c\u53ef\u4ee5\u53c2\u8003\u6b64\u524d<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>\u5bf9\u8fd9\u7bc7\u8bba\u6587\u7684\u4ecb\u7ecd\u3002<a href=\"https:\/\/mp.weixin.qq.com\/s\/5lY5Fj82lrRWikn6LNceWg\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-c4704e9df0ce6630ab4d37640be5207a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-c4704e9df0ce6630ab4d37640be5207a.png\"><\/a><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7a3724c741ec139c7b80413ca6af1e40.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7a3724c741ec139c7b80413ca6af1e40.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aArpit Bahety, Priyanka Mandikal, Ben Abbatematteo, Roberto Mart\u00edn-Mart\u00edn<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u5f97\u514b\u8428\u65af\u5927\u5b66\u5965\u65af\u6c40\u5206\u6821<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2405.03666<\/p>\n<\/li>\n<\/ul>\n<p>\u5982\u679c\u8981\u6559\u4e00\u4e2a\u673a\u5668\u4eba\u5982\u4f55\u7528\u4e24\u53ea\u624b\u540c\u65f6\u505a\u67d0\u4ef6\u4e8b\u60c5\uff0c\u6bd4\u5982\u540c\u65f6\u6253\u5f00\u4e00\u4e2a\u76d2\u5b50\uff0c\u5b9e\u9645\u4e0a\u5f88\u56f0\u96be\u3002\u56e0\u4e3a\u673a\u5668\u4eba\u9700\u8981\u540c\u65f6\u63a7\u5236\u5f88\u591a\u5173\u8282\uff0c\u8fd8\u8981\u786e\u4fdd\u4e24\u53ea\u624b\u7684\u52a8\u4f5c\u534f\u8c03\u4e00\u81f4\u3002\u5bf9\u4e8e\u4eba\u7c7b\uff0c\u4eba\u4eec\u4f1a\u901a\u8fc7\u89c2\u5bdf\u522b\u4eba\uff0c\u5b66\u4f1a\u65b0\u7684\u52a8\u4f5c\uff0c\u518d\u81ea\u5df1\u5c1d\u8bd5\u5e76\u4e0d\u65ad\u6539\u8fdb\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u53c2\u8003\u4eba\u7c7b\u5b66\u4e60\u7684\u65b9\u6cd5\uff0c\u8ba9\u673a\u5668\u4eba\u4e5f\u80fd\u901a\u8fc7\u770b\u89c6\u9891\u5b66\u4e60\u65b0\u6280\u80fd\uff0c\u5e76\u4e14\u5728\u5b9e\u8df5\u4e2d\u63d0\u9ad8\u3002<\/p>\n<p>\u7814\u7a76\u8005\u4eec\u4ece\u5fc3\u7406\u5b66\u548c<mark data-type=\"concepts\" data-id=\"5b971b95-60d0-4b55-8ef2-b48eadcce7d5\">\u751f\u7269\u529b\u5b66<\/mark>\u7684\u7814\u7a76\u4e2d\u5f97\u5230\u7075\u611f\uff0c\u4ed6\u4eec\u628a\u4e24\u53ea\u624b\u7684\u52a8\u4f5c\u60f3\u8c61\u6210\u4e00\u79cd\u7279\u6b8a\u7684\u94fe\u6761\uff0c\u8fd9\u79cd\u94fe\u6761\u53ef\u4ee5\u50cf\u87ba\u4e1d\u4e00\u6837\u65cb\u8f6c\uff0c\u79f0\u4e4b\u4e3a\u300c\u87ba\u65cb\u52a8\u4f5c\u300d\u3002\u57fa\u4e8e\u6b64\uff0c\u4ed6\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u540d\u4e3a ScrewMimic \u7684\u7cfb\u7edf\u3002\u8fd9\u4e2a\u7cfb\u7edf\u53ef\u4ee5\u5e2e\u52a9\u673a\u5668\u4eba\u66f4\u597d\u5730\u7406\u89e3\u4eba\u7c7b\u7684\u6f14\u793a\uff0c\u5e76\u901a\u8fc7\u81ea\u6211\u76d1\u7763\u6765\u6539\u8fdb\u52a8\u4f5c\u3002\u901a\u8fc7\u5b9e\u9a8c\uff0c\u7814\u7a76\u8005\u4eec\u53d1\u73b0 ScrewMimic \u7cfb\u7edf\u80fd\u5e2e\u52a9\u673a\u5668\u4eba\u4ece\u4e00\u6bb5\u89c6\u9891\u4e2d\u5b66\u4e60\u5230\u590d\u6742\u7684\u53cc\u624b\u64cd\u4f5c\u6280\u80fd\uff0c\u5e76\u5728\u6027\u80fd\u4e0a\u8d85\u8d8a\u4e86\u90a3\u4e9b\u76f4\u63a5\u5728\u539f\u59cb\u52a8\u4f5c\u7a7a\u95f4\u4e2d\u8fdb\u884c\u5b66\u4e60\u548c\u6539\u8fdb\u7684\u7cfb\u7edf\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7bc412d589e124c013a59ad9630bb818.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7bc412d589e124c013a59ad9630bb818.png\"><\/a><\/section>\n<p><em><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 ScrewMimic \u7684\u65b9\u6cd5\u793a\u610f\u56fe<\/sup><\/em><\/p>\n<p><strong>\u6700\u4f73\u8bba\u6587\u5956<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-6c5366c414da33b5baf3b335ba89b083.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-6c5366c414da33b5baf3b335ba89b083.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aAdvancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aXinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u5317\u4eac\u661f\u52a8\u7eaa\u5143\u79d1\u6280\u6709\u9650\u516c\u53f8\u3001<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark><\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/enriquecoronadozu.github.io\/rssproceedings2024\/rss20\/p058.pdf<\/p>\n<\/li>\n<\/ul>\n<p>\u5f53\u524d\u6280\u672f\u53ea\u80fd\u8ba9\u4eba\u5f62\u673a\u5668\u4eba\u5728\u5e73\u5766\u5730\u9762\uff0c\u6b64\u7c7b\u7b80\u5355\u7684\u5730\u5f62\u4e0a\u884c\u8d70\u3002\u7136\u800c\uff0c\u8ba9\u5b83\u4eec\u5728\u590d\u6742\u73af\u5883\uff0c\u5982\u771f\u5b9e\u7684\u6237\u5916\u573a\u666f\u4e2d\u81ea\u5982\u884c\u52a8\uff0c\u4ecd\u5f88\u56f0\u96be\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a\u53bb\u566a\u4e16\u754c\u6a21\u578b\u5b66\u4e60\uff08DWL\uff09\u7684\u65b0\u65b9\u6cd5\u3002<\/p>\n<p>DWL \u662f\u4e00\u4e2a\u7528\u4e8e\u4eba\u5f62\u673a\u5668\u4eba\u7684\u8fd0\u52a8\u63a7\u5236\u7684\u7aef\u5230\u7aef\u7684<mark data-type=\"tech_methods\" data-id=\"ee1a8f69-3170-4ddf-b2b6-47d91c844425\">\u5f3a\u5316\u5b66\u4e60<\/mark>\u6846\u67b6\u3002\u8fd9\u4e00\u6846\u67b6\u4f7f\u673a\u5668\u4eba\u80fd\u591f\u9002\u5e94\u5404\u79cd\u4e0d\u5e73\u5766\u4e14\u5177\u6709\u6311\u6218\u6027\u7684\u5730\u5f62\uff0c\u4f8b\u5982\u96ea\u5730\u3001\u659c\u5761\u548c\u697c\u68af\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u4e9b\u673a\u5668\u4eba\u4ec5\u9700\u4e00\u6b21\u5b66\u4e60\u8fc7\u7a0b\uff0c\u65e0\u9700\u989d\u5916\u7684\u7279\u522b\u8bad\u7ec3\uff0c\u4fbf\u80fd\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u81ea\u5982\u5e94\u5bf9\u591a\u6837\u5316\u7684\u5730\u5f62\u6311\u6218\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-8a9b1792fb8eb57e767435c281f3bb08.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-8a9b1792fb8eb57e767435c281f3bb08.png\"><\/a><\/p>\n<p>\u8fd9\u9879\u7814\u7a76\u7531\u5317\u4eac\u661f\u52a8\u7eaa\u5143\u79d1\u6280\u6709\u9650\u516c\u53f8\u548c<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u8054\u5408\u5b8c\u6210\u3002\u661f\u52a8\u7eaa\u5143\u6210\u7acb\u4e8e 2023 \u5e74\uff0c\u662f\u4e00\u5bb6\u7531<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u4ea4\u53c9\u4fe1\u606f\u7814\u7a76\u9662\u5b75\u5316\uff0c\u7814\u53d1\u5177\u8eab\u667a\u80fd\u4ee5\u53ca\u901a\u7528\u4eba\u5f62\u673a\u5668\u4eba\u6280\u672f\u548c\u4ea7\u54c1\u7684\u79d1\u6280\u516c\u53f8\uff0c\u521b\u59cb\u4eba\u4e3a<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u4ea4\u53c9\u4fe1\u606f\u7814\u7a76\u9662\u52a9\u7406\u6559\u6388\u3001\u535a\u5bfc\u9648\u5efa\u5b87\uff0c\u805a\u7126\u4e8e<mark data-type=\"concepts\" data-id=\"f1ce4161-b3c6-4b8a-b777-2d7958fe8b89\">\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/mark> (AGI) \u524d\u6cbf\u5e94\u7528\uff0c\u81f4\u529b\u4e8e\u7814\u53d1\u9002\u5e94\u5bbd\u9886\u57df\u3001\u591a\u60c5\u666f\u3001\u9ad8\u667a\u80fd\u7684\u901a\u7528\u4eba\u5f62\u673a\u5668\u4eba\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-45b1e2a70d063a69f79a9922982a53f3.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-45b1e2a70d063a69f79a9922982a53f3.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u6807\u9898\uff1aReal-Time Anomaly Detection and Reactive Planning with Large Language Models<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aRohan Sinha, Amine Elhafsi, Christopher Agia, Matt Foutter, Edward Schmerling, Marco Pavone<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u65af\u5766\u798f\u5927\u5b66<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2407.08735<\/p>\n<\/li>\n<\/ul>\n<p>\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\uff0c\u5177\u6709\u96f6\u6837\u672c\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u8fd9\u4f7f\u5f97\u5b83\u4eec\u6709\u5e0c\u671b\u6210\u4e3a\u68c0\u6d4b\u548c\u6392\u9664\u673a\u5668\u4eba\u7cfb\u7edf\u5206\u5e03\u5916\u6545\u969c\u7684\u6280\u672f\u3002\u7136\u800c\uff0c\u60f3\u8ba9\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u771f\u6b63\u53d1\u6325\u4f5c\u7528\uff0c\u9700\u8981\u89e3\u51b3\u4e24\u4e2a\u96be\u9898\uff1a\u9996\u5148\uff0cLLM \u9700\u8981\u5f88\u591a\u8ba1\u7b97\u8d44\u6e90\u624d\u80fd\u5728\u7ebf\u5e94\u7528\uff1b\u5176\u6b21\uff0c\u9700\u8981\u8ba9 LLM \u7684\u5224\u65ad\u80fd\u591f\u878d\u5165\u5230\u673a\u5668\u4eba\u7684\u5b89\u5168\u63a7\u5236\u7cfb\u7edf\u4e2d\u3002<\/p>\n<p>\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u4e00\u4e2a\u4e24\u9636\u6bb5\u7684\u63a8\u7406\u6846\u67b6\uff1a\u5bf9\u4e8e\u7b2c\u4e00\u9636\u6bb5\uff0c\u4ed6\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u5feb\u901f\u7684<mark data-type=\"tech_tasks\" data-id=\"3eaea908-6266-4c97-bb63-79b0fcade338\">\u5f02\u5e38\u68c0\u6d4b<\/mark>\u5668\uff0c\u5b83\u80fd\u5728 LLM \u7684\u7406\u89e3\u7a7a\u95f4\u91cc\u8fc5\u901f\u5206\u6790\u5bf9\u673a\u5668\u4eba\u7684\u89c2\u5bdf\u7ed3\u679c\uff1b\u5982\u679c\u53d1\u73b0\u95ee\u9898\uff0c\u5c31\u4f1a\u8fdb\u5165\u4e0b\u4e00\u4e2a\u5907\u9009\u9009\u62e9\u9636\u6bb5\u3002\u5728\u8fd9\u4e2a\u9636\u6bb5\uff0c\u5c06\u91c7\u7528 LLM \u7684\u63a8\u7406\u80fd\u529b\uff0c\u8fdb\u884c\u66f4\u6df1\u5165\u7684\u5206\u6790\u3002<\/p>\n<p>\u8fdb\u5165\u54ea\u4e2a\u9636\u6bb5\u5bf9\u5e94\u4e8e\u6a21\u578b\u9884\u6d4b\u63a7\u5236\u7b56\u7565\u4e2d\u7684\u5206\u652f\u70b9\uff0c\u8fd9\u4e2a\u7b56\u7565\u80fd\u591f\u540c\u65f6\u8ddf\u8e2a\u5e76\u8bc4\u4f30\u4e0d\u540c\u7684\u5907\u9009\u8ba1\u5212\uff0c\u4ee5\u89e3\u51b3\u6162\u901f\u63a8\u7406\u5668\u7684\u5ef6\u8fdf\u95ee\u9898\u3002\u4e00\u65e6\u7cfb\u7edf\u68c0\u6d4b\u5230\u4efb\u4f55\u5f02\u5e38\u6216\u95ee\u9898\uff0c\u8fd9\u4e2a\u7b56\u7565\u4f1a\u7acb\u5373\u542f\u52a8\uff0c\u786e\u4fdd\u673a\u5668\u4eba\u7684\u884c\u52a8\u662f\u5b89\u5168\u7684\u3002<\/p>\n<p>\u8fd9\u7bc7\u8bba\u6587\u4e2d\u7684\u5feb\u901f\u5f02\u5e38\u5206\u7c7b\u5668\u5728\u6027\u80fd\u4e0a\u8d85\u8d8a\u4e86\u4f7f\u7528\u6700\u5148\u8fdb\u7684 GPT \u6a21\u578b\u7684\u81ea\u56de\u5f52\u63a8\u7406\uff0c\u5373\u4f7f\u5728\u4f7f\u7528\u76f8\u5bf9\u8f83\u5c0f\u7684<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u65f6\u4e5f\u662f\u5982\u6b64\u3002\u8fd9\u4f7f\u5f97\u8bba\u6587\u4e2d\u63d0\u51fa\u7684\u5b9e\u65f6\u76d1\u63a7\u5668\u80fd\u591f\u5728\u6709\u9650\u7684\u8d44\u6e90\u548c\u65f6\u95f4\u4e0b\uff0c\u4f8b\u5982\u56db\u65cb\u7ffc<mark data-type=\"tech_tasks\" data-id=\"b703c52f-3ee7-468e-9324-ba58be537c80\">\u65e0\u4eba\u673a<\/mark>\u548c\u65e0\u4eba\u9a7e\u9a76\u6c7d\u8f66\u4e2d\uff0c\u63d0\u9ad8\u52a8\u6001\u673a\u5668\u4eba\u7684\u53ef\u9760\u6027\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-886a81f25e69d4ab25a8c66eea68e311.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-886a81f25e69d4ab25a8c66eea68e311.png\"><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-a48237d9b8fe7b1615c07b24e27bf4f5.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-a48237d9b8fe7b1615c07b24e27bf4f5.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u9898\u76ee\uff1aConfiguration Space Distance Fields for Manipulation Planning<\/p>\n<\/li>\n<li>\n<p>\u4f5c\u8005\uff1aYiming Li, Xuemin Chi, Amirreza Razmjoo, Sylvain Calinon<\/p>\n<\/li>\n<li>\n<p>\u673a\u6784\uff1a\u745e\u58eb IDIAP \u7814\u7a76\u6240\u3001\u745e\u58eb\u6d1b\u6851\u8054\u90a6\u7406\u5de5\u5b66\u9662\u3001\u6d59\u6c5f\u5927\u5b66<\/p>\n<\/li>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2406.01137<\/p>\n<\/li>\n<\/ul>\n<p>\u7b26\u53f7\u8ddd\u79bb\u573a\uff08SDF\uff09\u662f\u673a\u5668\u4eba\u5b66\u4e2d\u4e00\u79cd\u6d41\u884c\u7684\u9690\u5f0f\u5f62\u72b6\u8868\u793a\uff0c\u5b83\u63d0\u4f9b\u4e86\u5173\u4e8e\u7269\u4f53\u548c\u969c\u788d\u7269\u7684\u51e0\u4f55\u4fe1\u606f\uff0c\u5e76\u4e14\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u4e0e\u63a7\u5236\u3001\u4f18\u5316\u548c\u5b66\u4e60\u6280\u672f\u7ed3\u5408\u8d77\u6765\u3002SDF \u4e00\u822c\u88ab\u7528\u4e8e\u8868\u793a\u4efb\u52a1\u7a7a\u95f4\u4e2d\u7684\u8ddd\u79bb\uff0c\u8fd9\u4e0e\u4eba\u7c7b\u5728 3D \u4e16\u754c\u4e2d<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u7684\u8ddd\u79bb\u6982\u5ff5\u76f8\u5bf9\u5e94\u3002<\/p>\n<p>\u5728\u673a\u5668\u4eba\u9886\u57df\u4e2d\uff0cSDF \u5f80\u5f80\u7528\u6765\u8868\u793a\u673a\u5668\u4eba\u6bcf\u4e2a\u5173\u8282\u7684\u89d2\u5ea6\u3002\u7814\u7a76\u8005\u901a\u5e38\u77e5\u9053\u5728\u673a\u5668\u4eba\u7684\u5173\u8282\u89d2\u5ea6\u7a7a\u95f4\u4e2d\uff0c\u54ea\u4e9b\u533a\u57df\u662f\u5b89\u5168\u7684\uff0c\u4e5f\u5c31\u662f\u8bf4\uff0c\u673a\u5668\u4eba\u7684\u5404\u4e2a\u5173\u8282\u53ef\u4ee5\u8f6c\u52a8\u5230\u8fd9\u4e9b\u533a\u57df\u800c\u4e0d\u4f1a\u53d1\u751f\u78b0\u649e\u3002\u4f46\u662f\uff0c\u4ed6\u4eec\u4e0d\u7ecf\u5e38\u7528\u8ddd\u79bb\u573a\u7684\u5f62\u5f0f\u6765\u8868\u8fbe\u8fd9\u4e9b\u5b89\u5168\u533a\u57df\u3002<\/p>\n<p>\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u4eec\u63d0\u51fa\u4e86\u7528 SDF \u4f18\u5316\u673a\u5668\u4eba\u914d\u7f6e\u7a7a\u95f4\u7684\u6f5c\u529b\uff0c\u4ed6\u4eec\u79f0\u4e4b\u4e3a\u914d\u7f6e\u7a7a\u95f4\u8ddd\u79bb\u573a\uff08\u7b80\u79f0\u4e3a CDF\uff09\u3002\u4e0e\u4f7f\u7528 SDF \u7c7b\u4f3c\uff0cCDF \u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u5173\u8282\u89d2\u5ea6\u8ddd\u79bb<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u548c\u76f4\u63a5\u8bbf\u95ee<mark data-type=\"concepts\" data-id=\"59a40d6c-220d-4a14-847c-0156b45a2f74\">\u5bfc\u6570<\/mark>\uff08\u5173\u8282\u89d2\u901f\u5ea6\uff09\u3002\u901a\u5e38\uff0c\u673a\u5668\u4eba<mark data-type=\"tech_tasks\" data-id=\"3f5eac69-dad3-43e7-9022-40dcf97a1892\">\u89c4\u5212<\/mark>\u4f1a\u5206\u6210\u4e24\u6b65\uff1a\u5148\u5728\u4efb\u52a1\u7a7a\u95f4\u91cc\u770b\u770b\u52a8\u4f5c\u79bb\u76ee\u6807\u6709\u591a\u8fdc\uff0c\u518d\u7528\u9006\u8fd0\u52a8\u5b66\u7b97\u51fa\u5173\u8282\u600e\u4e48\u8f6c\u3002\u4f46 CDF \u8ba9\u8fd9\u4e24\u6b65\u5408\u6210\u4e00\u6b65\uff0c\u76f4\u63a5\u5728\u673a\u5668\u4eba\u7684\u5173\u8282\u7a7a\u95f4\u91cc\u89e3\u51b3\u95ee\u9898\uff0c\u8fd9\u6837\u66f4\u7b80\u5355\uff0c\u6548\u7387\u4e5f\u66f4\u9ad8\u3002\u7814\u7a76\u8005\u5728\u8bba\u6587\u4e2d\u63d0\u51fa\u4e86\u4e00\u79cd\u9ad8\u6548\u7684\u7b97\u6cd5\u6765\u8ba1\u7b97\u548c\u878d\u5408 CDF\uff0c\u53ef\u4ee5\u63a8\u5e7f\u5230\u4efb\u610f\u573a\u666f\u3002<\/p>\n<p>\u4ed6\u4eec\u8fd8\u63d0\u51fa\u4e86\u4e00\u79cd\u4f7f\u7528\u591a\u5c42<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u5668\uff08MLPs\uff09\u7684\u76f8\u5e94\u795e\u7ecf CDF \u8868\u793a\uff0c\u7528\u4ee5\u83b7\u5f97\u7d27\u51d1\u4e14\u8fde\u7eed\u7684\u8868\u793a\uff0c\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\u3002\u8bba\u6587\u4e2d\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5177\u4f53\u793a\u4f8b\u6765\u5c55\u793a CDF \u7684\u6548\u679c\uff0c\u6bd4\u5982\u8ba9\u673a\u5668\u4eba\u907f\u5f00\u5e73\u9762\u4e0a\u7684\u969c\u788d\u7269\uff0c\u4e00\u7ea7\u8ba9\u4e00\u4e2a 7 \u8f74\u7684\u673a\u5668\u4eba Franka \u5b8c\u6210\u4e00\u4e9b\u52a8\u4f5c<mark data-type=\"tech_tasks\" data-id=\"3f5eac69-dad3-43e7-9022-40dcf97a1892\">\u89c4\u5212<\/mark>\u4efb\u52a1\u3002\u8fd9\u4e9b\u793a\u4f8b\u90fd\u8bf4\u660e\u4e86 CDF \u7684\u6709\u6548\u6027\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-d29d505d60641008f3a4c90390220dac.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-d29d505d60641008f3a4c90390220dac.gif\"><\/a><\/section>\n<p><em><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u5e94\u7528 CDF \u65b9\u6cd5\u7684\u673a\u68b0\u81c2\u505a\u62ac\u76d2\u5b50\u4efb\u52a1<\/sup><\/em><\/p>\n<p><strong>\u65e9\u671f\u804c\u4e1a Spotlight<\/strong><\/p>\n<p>\u5927\u4f1a\u8fd8\u8bc4\u9009\u51fa\u4e86\u65e9\u671f\u804c\u4e1a Spotlight \u5956\uff0c\u672c\u6b21\u83b7\u5956\u8005\u4e3a Stefan Leutenegger\uff0c\u4ed6\u7684\u7814\u7a76\u91cd\u70b9\u662f\u673a\u5668\u4eba\u5728\u6f5c\u5728\u672a\u77e5\u73af\u5883\u4e2d\u7684\u5bfc\u822a\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f81f1e9ddb78e2a1885160e69f7025e4.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f81f1e9ddb78e2a1885160e69f7025e4.png\"><\/a><\/p>\n<p>Stefan Leutenegger 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