{"id":197904,"date":"2024-10-18T13:22:56","date_gmt":"2024-10-18T18:22:56","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/10\/boston-dynamics-teams-with-tri-to-bring-ai-smarts-to-atlas-humanoid-robot"},"modified":"2024-10-18T13:22:56","modified_gmt":"2024-10-18T18:22:56","slug":"boston-dynamics-teams-with-tri-to-bring-ai-smarts-to-atlas-humanoid-robot","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/10\/boston-dynamics-teams-with-tri-to-bring-ai-smarts-to-atlas-humanoid-robot","title":{"rendered":"Boston Dynamics teams with TRI to bring AI smarts to Atlas humanoid robot"},"content":{"rendered":"

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Boston Dynamics and Toyota Research Institute (TRI) Wednesday revealed plans<\/a> to bring AI-based robotic intelligence to the electric Atlas humanoid robot<\/a>. The collaboration will leverage the work that TRI has done around large behavior models (LBMs), which operate along similar lines as the more familiar large language models (LLMs) behind platforms like ChatGPT.<\/p>\n

Last September, TechCrunch paid a visit<\/a> to TRI\u2019s Bay Area campus for a closer look at the institute\u2019s work on robot learning. In research revealed at last year\u2019s Disrupt conference, institute head Gill Pratt explained how the lab has been able to get robots to 90% accuracy when performing household tasks like flipping pancakes through overnight training.<\/p>\n

\u201cIn machine learning, up until quite recently there was a tradeoff, where it works, but you need millions of training cases,\u201d Pratt explained at the time. \u201cWhen you\u2019re doing physical things, you don\u2019t have time for that many, and the machine will break down before you get to 10,000. Now it seems that we need dozens. The reason for the dozens is that we need to have some diversity in the training cases. But in some cases, it\u2019s less.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

Boston Dynamics and Toyota Research Institute (TRI) Wednesday revealed plans to bring AI-based robotic intelligence to the electric Atlas humanoid robot. The collaboration will leverage the work that TRI has done around large behavior models (LBMs), which operate along similar lines as the more familiar large language models (LLMs) behind platforms like ChatGPT. Last September, [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-197904","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/197904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=197904"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/197904\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=197904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=197904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=197904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}