{"id":170108,"date":"2023-08-20T19:22:49","date_gmt":"2023-08-21T00:22:49","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/08\/mit-and-harvard-researchers-propose-fan-a-comprehensive-ai-system-that-bridges-the-gap-between-sota-computer-vision-and-robotic-systems-providing-an-end-to-end-solution-for-segmenting-detecting"},"modified":"2023-08-20T19:22:49","modified_gmt":"2023-08-21T00:22:49","slug":"mit-and-harvard-researchers-propose-fan-a-comprehensive-ai-system-that-bridges-the-gap-between-sota-computer-vision-and-robotic-systems-providing-an-end-to-end-solution-for-segmenting-detecting","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/08\/mit-and-harvard-researchers-propose-fan-a-comprehensive-ai-system-that-bridges-the-gap-between-sota-computer-vision-and-robotic-systems-providing-an-end-to-end-solution-for-segmenting-detecting","title":{"rendered":"MIT and Harvard Researchers Propose (FAn): A Comprehensive AI System that Bridges the Gap between SOTA Computer Vision and Robotic Systems- Providing an End-to-End Solution for Segmenting, Detecting, Tracking, and Following any Object"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/mit-and-harvard-researchers-propose-fan-a-comprehensive-ai-system-that-bridges-the-gap-between-sota-computer-vision-and-robotic-systems-providing-an-end-to-end-solution-for-segmenting-detecting3.jpg\"><\/a><\/p>\n<p>In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called \u201cFollow Anything\u201d (FAn). The system addresses the limitations of current object-following robotic systems and presents an innovative solution for real-time, open-set object tracking and following.<\/p>\n<p>The primary shortcomings of existing robotic object-following systems are a constrained ability to accommodate new objects due to a fixed set of recognized categories and a lack of user-friendliness in specifying target objects. The new FAn system tackles these issues by presenting an open-set approach that can seamlessly detect, segment, track, and follow a wide range of things while adapting to novel objects through text, images, or click queries.<\/p>\n<p>The core features of the proposed FAn system can be summarized as follows:<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called \u201cFollow Anything\u201d (FAn). The system addresses the limitations of current object-following robotic systems and presents an innovative solution for real-time, open-set object tracking and following. The primary shortcomings of existing robotic object-following systems are a constrained [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522,6],"tags":[],"class_list":["post-170108","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\/170108","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=170108"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/170108\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=170108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=170108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=170108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}