{"id":274781,"date":"2025-07-04T17:22:00","date_gmt":"2025-07-04T21:22:00","guid":{"rendered":"https:\/\/inspenet.com\/?p=274781"},"modified":"2025-07-04T15:19:17","modified_gmt":"2025-07-04T19:19:17","slug":"mit-technique-allows-robots-to-identify-hidden-objects","status":"publish","type":"noticias","link":"https:\/\/inspenet.com\/en\/news\/mit-technique-allows-robots-to-identify-hidden-objects\/","title":{"rendered":"MIT technique allows robots to identify hidden objects"},"content":{"rendered":"\n

MIT robots can now identify hidden objects<\/strong> thanks to a system that can reconstruct their shape with 96% accuracy. This innovation, called mmNorm, uses millimeter-wave (mmWave) signals to generate detailed three-dimensional reconstructions of elements not visible to the naked eye, and is already being integrated into prototype MIT robot prototypes<\/a><\/strong> prototype robots to improve their non-contact inspection capabilities. <\/p>\n\n

The system was conceived to operate in environments where visibility is limited, such as factories or warehouses. mmNorm picks up reflections from waves passing through common materials – such as cardboard, plastic or thin walls – and applies a specialized algorithm that reconstructs the shape and orientation of hidden objects. <\/p>\n\n

MIT Robots Calculate Hidden Shapes Using Reflection<\/h2>\n\n

Unlike conventional back projection techniques, which offer low resolution for small objects, mmNorm incorporates the concept of surface normal<\/strong>, estimating the direction in which each point of an object reflects the signal. This makes it possible to reconstruct complex, curved details, such as the handle of a tool or the silhouette of a piece of cutlery. <\/p>\n\n

The team used a robotic arm<\/a><\/strong> equipped with radar to scan from multiple angles, collecting votes from each antenna on the surface orientation. The result is a three-dimensional is a three-dimensional image<\/a><\/strong> that allows the robots to recognize specific shapes without the need for physical contact<\/strong>. <\/p>\n\n

Industrial and domestic applications<\/h2>\n\n

The efficiency of the system, which does not require higher bandwidth than current methods, makes it a viable option for multiple applications. From automated assembly lines to healthcare environments, robots could identify utensils hidden in drawers<\/strong>, check the condition of packaged parts, or handle tools without risk of damage. <\/p>\n\n

In addition, the technology shows potential in areas such as augmented reality and augmented reality<\/a><\/strong>where it could offer real-time vision of occluded objects<\/strong>, and in security systems, improving detection at airport checkpoints or remote inspections.<\/p>\n\n

A change in the robotic perception approach<\/h2>\n\n

According to the researchers, this development involves a new way of using mmWave signals<\/strong>, traditionally used in radar. “We wanted to go beyond detecting objects: we sought to understand their shape<\/em>,” explained those responsible for the project.<\/p>\n\n

In the future, the team plans to extend the system’s capabilities to work with denser materials and less reflective surfaces, as well as to refine the reconstruction resolution.<\/p>\n\n

This technique could redefine the way robots interact with their environment, providing a more complete, accurate and adaptive perception in contexts where direct visibility is not possible.<\/p>\n\n

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Source: MIT<\/a><\/strong><\/p>\n\n

Photo: Shutterstock<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

mmNorm achieves an accuracy of 96% when reconstructing hidden objects, outperforming current state-of-the-art methods by 40%.<\/p>\n","protected":false},"author":9014,"featured_media":274481,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categoria_noticias":[13030,13058],"etiqueta_noticias":[],"class_list":["post-274781","noticias","type-noticias","status-publish","has-post-thumbnail","hentry","categoria_noticias-industry","categoria_noticias-robotics"],"acf":[],"_links":{"self":[{"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/noticias\/274781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/noticias"}],"about":[{"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/types\/noticias"}],"author":[{"embeddable":true,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/users\/9014"}],"replies":[{"embeddable":true,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/comments?post=274781"}],"version-history":[{"count":0,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/noticias\/274781\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/media\/274481"}],"wp:attachment":[{"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/media?parent=274781"}],"wp:term":[{"taxonomy":"categoria_noticias","embeddable":true,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/categoria_noticias?post=274781"},{"taxonomy":"etiqueta_noticias","embeddable":true,"href":"https:\/\/inspenet.com\/en\/wp-json\/wp\/v2\/etiqueta_noticias?post=274781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}