{"id":99099,"date":"2025-06-30T14:45:33","date_gmt":"2025-06-30T10:45:33","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=99099"},"modified":"2025-06-30T14:45:35","modified_gmt":"2025-06-30T10:45:35","slug":"mbzuai-reveals-tactile-skills-breakthrough-in-robotics","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/mbzuai-reveals-tactile-skills-breakthrough-in-robotics\/","title":{"rendered":"MBZUAI Reveals \u2018Tactile Skills\u2019 Breakthrough in Robotics"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Mohamed_bin_Zayed_University_of_Artificial_Intelligence\">Mohamed bin Zayed University for Artificial Intelligence<\/a> (MBZUAI) has announced a major breakthrough in robotic automation. The research introduces a new embodied <a href=\"https:\/\/techxmedia.com\/en\/?s=artificial+intelligence+\">AI<\/a> framework called <em>Tactile Skills<\/em>.<\/p>\n\n\n\n<p>Despite rapid progress in robotics, machines have long struggled with delicate, tactile tasks. These include inserting connectors and handling flexible materials. However, the Tactile Skills framework is now changing this landscape.<\/p>\n\n\n\n<p>Sami Haddadin, VP for Research at MBZUAI, led the project. He collaborated with his former PhD student Lars Johannsmeier, Yanan Li from the University of Sussex, and Etienne Burdet from Imperial College. Their work was published on June 23 in <em>Nature Machine Intelligence<\/em>.<\/p>\n\n\n\n<p>The researchers revealed that Tactile Skills offers a scalable, practical, and theoretically sound solution. It is inspired by the human neural system and vocational training methods. The framework uses a structured taxonomy based on expert-defined process specifications.<\/p>\n\n\n\n<p>In simple terms, it acts like a specialized curriculum for robots. It enables them to quickly learn and master new physical tasks with precision and adaptability.<\/p>\n\n\n\n<p>According to Haddadin, the new framework bridges the gap between human expertise and robotic capability. He reported that robots can now master intricate tasks reliably. This marks a significant step forward in practical automation.<\/p>\n\n\n\n<p>The system was tested across 28 industrial tasks. These included demanding activities such as plug insertion and precision cutting. Results showed nearly 100% success, even when objects were misaligned or conditions changed.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Robots adapted to changes with minimal error<\/li>\n\n\n\n<li>Performance remained fast and industrial-grade<\/li>\n<\/ul>\n\n\n\n<p>Unlike traditional machine learning models, Tactile Skills does not rely on trial-and-error or massive datasets. Instead, it combines expert process knowledge with reusable tactile control components. This drastically speeds up learning and cuts energy use.<\/p>\n\n\n\n<p>One key highlight was its success in assembling a complex bottle-filling device. The researchers said this proves the framework\u2019s value for real-world manufacturing.<\/p>\n\n\n\n<p>They also noted that operators with limited robotics knowledge can deploy these systems efficiently. As a result, setup time and costs are significantly reduced.<\/p>\n\n\n\n<p>Haddadin stated that this advancement could help transform robots into adaptable, skilled assistants. He added that industries now have a viable path toward automating complex, tactile tasks.<\/p>\n\n\n\n<p>Ultimately, the team believes this innovation unlocks new possibilities for automation. They reported that Tactile Skills makes reliable robotic capabilities accessible across industries and even in homes.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mohamed bin Zayed University for Artificial Intelligence (MBZUAI) has announced [&hellip;]<\/p>\n","protected":false},"author":58,"featured_media":99106,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[147,9621],"tags":[2725],"contributor":[9732],"class_list":["post-99099","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-emerging-technologies","tag-artificial-intelligence","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2025\/06\/MBZUAI-51.jpg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/99099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=99099"}],"version-history":[{"count":1,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/99099\/revisions"}],"predecessor-version":[{"id":99100,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/99099\/revisions\/99100"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/99106"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=99099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=99099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=99099"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=99099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}