{"id":225154,"date":"2026-03-19T00:00:00","date_gmt":"2026-03-19T04:00:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/03\/19\/generative-ai-improves-a-wireless-vision-system-that-sees-through-obstructions-mit-news\/"},"modified":"2026-03-19T00:15:11","modified_gmt":"2026-03-19T04:15:11","slug":"generative-ai-improves-a-wireless-vision-system-that-sees-through-obstructions-mit-news","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/03\/19\/generative-ai-improves-a-wireless-vision-system-that-sees-through-obstructions-mit-news\/","title":{"rendered":"Generative AI improves a wireless vision system that sees through obstructions | MIT News"},"content":{"rendered":"<p><a href=\"https:\/\/news.mit.edu\/2026\/generative-ai-improves-wireless-vision-system-sees-through-obstructions-0319\">Generative AI improves a wireless vision system that sees through obstructions | MIT News<\/a><\/p>\n<p><a href=\"https:\/\/news.mit.edu\/2026\/generative-ai-improves-wireless-vision-system-sees-through-obstructions-0319\">https:\/\/news.mit.edu\/2026\/generative-ai-improves-wireless-vision-system-sees-through-obstructions-0319<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-03-19 00:00:00<\/a><\/p>\n<p>Source Domain: <a href=\"news.mit.edu\">news.mit.edu<\/a><\/p>\n<p>MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by \u201cseeing\u201d through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.<\/p>\n<p>Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The result is a new method that produces more accurate shape reconstructions, which could improve a robot\u2019s ability to reliably grasp and manipulate objects that are blocked from view.<\/p>\n<p>This new technique builds a partial reconstruction of a hidden object from reflected wireless signals and fills in the missing parts of its shape using a specially trained generative AI model.<\/p>\n<p>The researchers also introduced an expanded system that uses generative AI to accurately reconstruct an entire room, including all the furniture. The system utilizes wireless signals sent from one stationary radar, which reflect off humans moving in the space.\u00a0\u00a0<\/p>\n<p>This overcomes one key challenge of many existing methods, which require a wireless sensor to be mounted on a mobile robot to scan the environment. And unlike some popular camera-based techniques, their method preserves the privacy of people in the environment.<\/p>\n<p>These innovations could enable warehouse robots to verify packed items before shipping, eliminating waste from product returns. They could also allow smart home robots to understand someone\u2019s location in a room, improving the safety and efficiency of human-robot interaction.<\/p>\n<p>\u201cWhat we\u2019ve done now is develop generative AI models that help us understand wireless reflections. This opens up a lot of interesting new applications, but technically it is also a qualitative leap in capabilities, from being able to fill in gaps we were not able to see before to being able to interpret reflections and reconstruct entire scenes,\u201d says Fadel Adib,&#8230;<\/p>\n<p><a href=\"https:\/\/news.mit.edu\/2026\/generative-ai-improves-wireless-vision-system-sees-through-obstructions-0319\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI improves a wireless vision system that sees through obstructions | MIT News https:\/\/news.mit.edu\/2026\/generative-ai-improves-wireless-vision-system-sees-through-obstructions-0319&#8230;<\/p>\n","protected":false},"author":1,"featured_media":225155,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/news.mit.edu\/sites\/default\/files\/images\/202603\/MIT-Scene-Understanding-01-press.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[19],"class_list":["post-225154","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/225154"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=225154"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/225154\/revisions"}],"predecessor-version":[{"id":225156,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/225154\/revisions\/225156"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/225155"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=225154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=225154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=225154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}