{"id":11672,"date":"2026-10-09T19:28:41","date_gmt":"2026-10-09T19:28:41","guid":{"rendered":"https:\/\/daazlabs.com\/why-humanoid-robot-demos-still-fail-the-generalization-test\/"},"modified":"2026-10-09T19:28:41","modified_gmt":"2026-10-09T19:28:41","slug":"why-humanoid-robot-demos-still-fail-the-generalization-test","status":"publish","type":"post","link":"https:\/\/daazlabs.com\/pt\/why-humanoid-robot-demos-still-fail-the-generalization-test\/","title":{"rendered":"Why humanoid robot demos still fail the generalization test"},"content":{"rendered":"<p>The Robot Report Podcast \u00b7 Why humanoid robot demos still fail the generalization test Jeanine Sinanan-Singh, director of GenAI research at Appen. In Episode 265 of The Robot Report Podcast, our guest is Jeanine Sinanan-Singh, director of generative AI Research at Appen. She discusses the continuing importance of humans in the loop for training robots. Sinanan-Singh works on agentic evals, RL environments, and dataset design for post-training frontier AI models. She also explains why impressive demonstrations don&#8217;t necessarily prove that robotic behavior can be generalized. Sinanan-Singh previously founded a pharmacy automation startup built on a 3D-printing platform to manufacture personalized medications. A Harvard graduate with prior experience at Microsoft and Surge, she is a frequent voice on AI evaluation and&#8230;<\/p>\n<hr>\n<p><em>Source: <a href=\"https:\/\/www.therobotreport.com\/why-humanoid-robot-demos-still-fail-the-generalization-test\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Robot Report<\/a><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>The Robot Report Podcast \u00b7 Why humanoid robot demos still fail the generalization test Jeanine Sinanan-Singh, director of GenAI research at Appen. In Episode 265 of The Robot Report Podcast, our guest is Jeanine Sinanan-Singh, director of generative AI Research at Appen. She discusses the continuing importance of humans in the loop for training robots. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11673,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":["post-11672","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-robot"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts\/11672","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/comments?post=11672"}],"version-history":[{"count":0,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/posts\/11672\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/media\/11673"}],"wp:attachment":[{"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/media?parent=11672"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/categories?post=11672"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/daazlabs.com\/pt\/wp-json\/wp\/v2\/tags?post=11672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}