{"id":166570,"date":"2023-06-28T02:22:24","date_gmt":"2023-06-28T07:22:24","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/06\/deepminds-new-self-improving-robot-is-quick-to-adapt-and-learn-fresh-skills"},"modified":"2023-06-28T02:22:24","modified_gmt":"2023-06-28T07:22:24","slug":"deepminds-new-self-improving-robot-is-quick-to-adapt-and-learn-fresh-skills","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/06\/deepminds-new-self-improving-robot-is-quick-to-adapt-and-learn-fresh-skills","title":{"rendered":"DeepMind\u2019s New Self-Improving Robot Is Quick to Adapt and Learn Fresh Skills"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/deepminds-new-self-improving-robot-is-quick-to-adapt-and-learn-fresh-skills2.jpg\"><\/a><\/p>\n<p>While autonomous robots have started to move out of the lab and into the real world, they remain fragile. Slight changes in the environment or lighting conditions can easily throw off the AI that controls them, and these models have to be extensively trained on specific hardware configurations before they can carry out useful tasks.<\/p>\n<p>This lies in stark contrast to the latest LLMs, which have proven adept at generalizing their skills to a broad range of tasks, often in unfamiliar contexts. That\u2019s prompted growing interest in seeing whether the underlying technology\u2014an architecture known as a transformer\u2014could lead to breakthroughs in <a href=\"https:\/\/singularityhub.com\/tag\/robotics\/\">robotics<\/a>.<\/p>\n<p>In new results, researchers at DeepMind showed that a transformer-based AI called RoboCat can not only learn a wide range of skills, it can also readily switch between different robotic bodies and pick up new skills much faster than normal. Perhaps most significantly, it\u2019s able to accelerate its learning by generating its own training data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>While autonomous robots have started to move out of the lab and into the real world, they remain fragile. Slight changes in the environment or lighting conditions can easily throw off the AI that controls them, and these models have to be extensively trained on specific hardware configurations before they can carry out useful tasks. [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522,6],"tags":[],"class_list":["post-166570","post","type-post","status-publish","format-standard","hentry","category-innovation","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/166570","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=166570"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/166570\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=166570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=166570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=166570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}