{"id":9760,"date":"2026-06-30T00:16:59","date_gmt":"2026-06-29T16:16:59","guid":{"rendered":"https:\/\/infernews.com\/blog\/simfoundry\/"},"modified":"2026-06-30T00:22:59","modified_gmt":"2026-06-29T16:22:59","slug":"simfoundry","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/simfoundry\/","title":{"rendered":"SimFoundry\uff1a\u55ae\u6bb5\u5f71\u7247\u8b8a\u6a5f\u68b0\u4eba\u6a21\u64ec\u5834\u666f"},"content":{"rendered":"\n
\"Digital<\/figure>\n\n\n\n

\u9019\u662f\u4e00\u500b\u7531 NVIDIA Research \u63a8\u51fa\u7684 robot learning \u9805\u76ee\u3002\u5b83\u7684\u4e3b\u8981\u7528\u9014\u662f\u628a\u55ae\u4e00\u771f\u5be6\u5834\u666f\u7684\u5716\u7247\u6216\u5f71\u7247\uff0c\u81ea\u52d5\u8f49\u6210\u53ef\u4f9b\u6a5f\u68b0\u4eba\u7b56\u7565\u8a13\u7df4\u8207\u8a55\u4f30\u7684\u4e92\u52d5\u5f0f simulation environment\uff0c\u6e1b\u5c11\u771f\u5be6\u4e16\u754c\u6536\u96c6\u6578\u64da\u8207\u53cd\u8986\u6e2c\u8a66\u7684\u6210\u672c\u3002<\/p>\n\n\n\n

SimFoundry \u7684\u6838\u5fc3\u505a\u6cd5\u662f\u5efa\u7acb modular and automated \u7684 zero-shot real-to-sim pipeline\uff0c\u5f9e\u55ae\u4e00\u5f71\u50cf\u6216\u5f71\u7247\u751f\u6210 sim-ready digital twins\uff0c\u4e26\u652f\u63f4 object\u3001scene \u8207 task editing\u3002\u9664\u4e86\u91cd\u5efa\u539f\u5834\u666f\uff0c\u7cfb\u7d71\u4ea6\u53ef\u81ea\u52d5\u7522\u751f\u591a\u7a2e digital cousins\uff0c\u8b93\u540c\u4e00\u500b\u4efb\u52d9\u5728\u4e0d\u540c\u7269\u4ef6\u914d\u7f6e\u3001\u5834\u666f\u689d\u4ef6\u6216\u64cd\u4f5c\u8981\u6c42\u4e0b\u64f4\u5c55\u8a13\u7df4\u8cc7\u6599\uff0c\u63d0\u5347\u7b56\u7565\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n\n\n\n

\u548c\u5e38\u898b\u8981\u5927\u91cf\u4eba\u5de5\u5efa\u6a21\u3001\u624b\u52d5\u8abf\u53c3\u6216\u4f9d\u8cf4\u591a\u8996\u89d2\u6383\u63cf\u7684\u505a\u6cd5\u76f8\u6bd4\uff0c\u9019\u500b\u9805\u76ee\u5f37\u8abf\u4ee5\u8f03\u4f4e\u8f38\u5165\u9580\u6abb\u5feb\u901f\u5efa\u7acb\u53ef\u7528\u6a21\u64ec\u5834\u666f\u3002\u9801\u9762\u4ea6\u63d0\u5230 hybrid scene \u8868\u793a\u65b9\u5f0f\uff0c\u7d50\u5408 3D Gaussian Splat \u80cc\u666f\u8207 textured object meshes\uff0c\u91cd\u9ede\u4e0d\u53ea\u5728\u8996\u89ba\u91cd\u5efa\uff0c\u800c\u662f\u8981\u8b93\u5834\u666f\u53ef\u76f4\u63a5\u7528\u65bc policy learning and evaluation\u3002<\/p>\n\n\n\n

\u91cd\u9ede\u6458\u8981\uff1a
\n– \u4ee5\u55ae\u4e00 image \u6216 video \u5efa\u7acb real-to-sim \u5834\u666f
\n– \u53ef\u751f\u6210 sim-ready digital twins\uff0c\u4e26\u7de8\u8f2f object\u3001scene\u3001task
\n– digital cousins \u6709\u52a9\u64f4\u5145\u8a13\u7df4\u8b8a\u5316\uff0c\u6539\u5584 sim-to-real \u6cdb\u5316
\n– \u5728 7 \u500b manipulation tasks\u30015 \u500b policies \u4e0a\uff0csimulation evaluation \u8207\u771f\u5be6\u8868\u73fe\u9ad8\u5ea6\u76f8\u95dc
\n– object\u3001scene\u3001task cousins \u5206\u5225\u5e36\u4f86\u5e73\u5747 17%\u300121%\u300150% \u4efb\u52d9\u6210\u529f\u7387\u63d0\u5347<\/p>\n\n\n\n

\u8a55\u6e2c\u7d50\u679c\u986f\u793a\uff0cSimFoundry \u5728 7 \u9805 manipulation tasks \u8207 5 \u500b policies \u4e0a\uff0csimulation evaluation \u5c0d\u771f\u5be6\u4e16\u754c\u8868\u73fe\u5177\u6709\u5f88\u5f37\u9810\u6e2c\u529b\uff0cmean Pearson correlation \u70ba 0.928\uff0cmean maximum ranking violation \u70ba 0.018\uff1b\u7528\u65bc\u8a55\u4f30\u771f\u5be6\u7b56\u7565\u6642\uff0c\u9801\u9762\u4ea6\u5217\u51fa mean Pearson correlation 0.911\u3002\u6587\u4e2d\u63d0\u53ca\u7684\u7b56\u7565\u5305\u62ec DreamZero\u3001Gr00t N1.7\u3001\u03c0 0.5\uff0c\u986f\u793a\u9019\u500b\u9805\u76ee\u9069\u5408\u7528\u65bc\u6a5f\u68b0\u4eba\u64cd\u4f5c\u7814\u7a76\u3001policy benchmarking\uff0c\u4ee5\u53ca\u60f3\u4ee5\u8f03\u4f4e\u6210\u672c\u5efa\u7acb\u53ef\u91cd\u8907\u6e2c\u8a66\u6d41\u7a0b\u7684\u5718\u968a\u3002<\/p>\n\n\n\n

\u9805\u76ee\u4e3b\u9801<\/strong><\/a> \u00b7 Paper<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u9019\u662f NVIDIA \u7684 real-to-sim \u9805\u76ee\uff0c\u53ef\u628a\u771f\u5be6\u5834\u666f\u5f71\u7247\u81ea\u52d5\u8f49\u6210\u53ef\u4e92\u52d5\u6a21\u64ec\u74b0\u5883\u3002\u5b83\u4e3b\u6253\u6a5f\u68b0\u4eba\u7b56\u7565\u8a13\u7df4\u3001\u8a55\u6e2c\u8207 sim-to-real \u9077\u79fb\u3002<\/p>\n","protected":false},"author":8,"featured_media":9759,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[179,132,184,31,127],"tags":[],"class_list":["post-9760","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-3d","category-robotic","category-video","category-127"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9760","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=9760"}],"version-history":[{"count":1,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9760\/revisions"}],"predecessor-version":[{"id":9763,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/9760\/revisions\/9763"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/9759"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=9760"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=9760"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=9760"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}