A $2,500 pair of humanoid robot legs built from 3D-printed parts and off-the-shelf components is not going to win marathons just yet. But such relatively inexpensive hardware could enable researchers to more easily test and train AI-powered robotics software in a physical body during real-world experiments.<\/p>\n
The newly available LeRobot Humanoid<\/a> project comes from the machine-learning and AI development platform Hugging Face<\/a>. The full-stack release gives robot builders and researchers access to a bill of materials, files for 3D-printable parts, wiring documentation, and physical assembly instructions\u2014but it also includes software tools for calibrating and controlling the robot in both the physical body and in simulation.<\/p>\n \u201cIf you are looking for the most advanced humanoid robot, this is not it,\u201d wrote Virgile Batto<\/a>, a robotics engineer at Hugging Face, in a blog post<\/a> coauthored with other colleagues. \u201cIf you are looking for a humanoid you can build, understand, repair, instrument, simulate, and use for learning experiments, this is the robot we are trying to make.\u201d<\/p>\n The Hugging Face team aimed for a \u201cpractical balance between affordability, mechanical performance, and ease of assembly.\u201d The design, built around printable parts, off-the-shelf hardware, and affordable actuators and electronics, means the bipedal robotic platform can be easily fixed and modified to enable rapid experimentation and development, rather than being a \u201cone-off prototype useful for a demo.\u201d<\/p>\n Such a design also aims to enable a more reproducible \u201cfull-robot design loop\u201d in which robots designed in simulation can be tested and validated in physical body experiments, according to Batto and colleagues. In turn, data from the real-world trials can help inform and improve the simulations<\/a> used for training robot behaviors.<\/p>\n","protected":false},"excerpt":{"rendered":"A $2,500 pair of humanoid robot legs built from 3D-printed parts and off-the-shelf components is not going to…\n","protected":false},"author":2,"featured_media":605335,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-605334","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/605334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=605334"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/605334\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/605335"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=605334"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=605334"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=605334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}