{"id":441,"date":"2026-03-16T09:32:12","date_gmt":"2026-03-16T09:32:12","guid":{"rendered":"https:\/\/braininspiredrobotics.com\/?p=441"},"modified":"2026-03-16T09:32:12","modified_gmt":"2026-03-16T09:32:12","slug":"how-to-build-a-benchmarking-framework-for-embodied-neuromorphic-agents","status":"publish","type":"post","link":"https:\/\/braininspiredrobotics.com\/?p=441","title":{"rendered":"How to build a benchmarking framework for embodied neuromorphic agents?"},"content":{"rendered":"<section lang=\"en\" aria-labelledby=\"Abs1\" data-title=\"Abstract\">\n<div id=\"Abs1-section\" class=\"c-article-section\">\n<div id=\"Abs1-content\" class=\"c-article-section__content\">\n<p class=\"c-bibliographic-information__citation\" style=\"text-align: justify;\"><span style=\"font-family: 'times new roman', times, serif;\">Giulia D\u2019Angelo, Jens E. Pedersen, Taimoor Hassan, Matteo Cianchetti, Josh Bongard, Fumiya Iida, Giacomo Indiveri, Matej Hoffmann, Cecilia Laschi, Chiara De Luca, Chiara Bartolozzi &amp; Elisa Donati<i>.<\/i> <a href=\"https:\/\/www.nature.com\/articles\/s42256-026-01197-w#citeas\"><strong>A benchmarking framework for embodied neuromorphic agents<\/strong><\/a>.\u00a0 Nature Machine Intelligence, 2026. https:\/\/doi.org\/10.1038\/s42256-026-01197-w<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'times new roman', times, serif;\">Abstract<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'times new roman', times, serif;\">&#8220;<span style=\"color: #ff0000;\"><strong>Enabling robots to swiftly, robustly and efficiently interact with a dynamic environment remains a key challenge<\/strong><\/span>. The robotic community can draw inspiration from the co-adaptation and synergistic interplay between animals\u2019 brains and bodies, which underpins embodied intelligence. Soft robots and neuromorphic technology offer a natural solution for such a challenge, <span style=\"color: #ff0000;\"><strong>enabling low-power, material-based and event-driven sensorimotor processing and control that seamlessly handles the continuous dynamic demands of embodied agents<\/strong><\/span>. In this Perspective, <span style=\"color: #ff0000;\"><strong>we propose a comprehensive framework for benchmarking neuromorphic computing (brain) that control soft robots (body), based on a suite of tasks, essential metrics and a reproducible robotic platform<\/strong><\/span>. The goal is to allow researchers to evaluate their embodied neuromorphic system with a physical robot, in real-world scenarios. The robotic platform is accessible, open-source, modular and scalable, so task complexity can be gradually increased, fostering a standardized approach. By coupling metrics with physical implementations, this framework will drive progress in soft robotics, neuromorphic computing and embodied intelligence.&#8221;<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'times new roman', times, serif;\">Giulia D\u2019Angelo, Jens E. Pedersen, Taimoor Hassan, Matteo Cianchetti, Josh Bongard, Fumiya Iida, Giacomo Indiveri, Matej Hoffmann, Cecilia Laschi, Chiara De Luca, Chiara Bartolozzi &amp; Elisa Donati<i>.<\/i> <a href=\"https:\/\/www.nature.com\/articles\/s42256-026-01197-w#citeas\"><strong>A benchmarking framework for embodied neuromorphic agents<\/strong><\/a>.\u00a0 Nature Machine Intelligence, 2026. https:\/\/doi.org\/10.1038\/s42256-026-01197-w<\/span><\/p>\n<\/div>\n<\/div>\n<\/section>\n<div class=\"js-context-bar-sticky-point-mobile\" style=\"text-align: justify;\" data-track-context=\"article body\">\u00a0<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Giulia D\u2019Angelo, Jens E. Pedersen, Taimoor Hassan, Matteo Cianchetti, Josh Bongard, Fumiya Iida, Giacomo Indiveri, Matej Hoffmann, Cecilia Laschi, Chiara De Luca, Chiara Bartolozzi &amp; Elisa Donati. A benchmarking framework for embodied neuromorphic agents.\u00a0 Nature Machine Intelligence, 2026. https:\/\/doi.org\/10.1038\/s42256-026-01197-w Abstract &#8220;Enabling robots to swiftly, robustly and efficiently interact with a dynamic environment remains a key [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74,152,6,7],"tags":[153,154,155],"class_list":["post-441","post","type-post","status-publish","format-standard","hentry","category-brain-inspired-robotics","category-embodied-neuromorphic-agent","category-neuromorphic-intelligence","category-neuromorphic-robotics","tag-benchmark","tag-embodied","tag-neuromorphic-agent"],"_links":{"self":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=441"}],"version-history":[{"count":1,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/441\/revisions"}],"predecessor-version":[{"id":442,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/441\/revisions\/442"}],"wp:attachment":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=441"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=441"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}