{"id":3252,"date":"2025-11-26T11:40:51","date_gmt":"2025-11-26T01:40:51","guid":{"rendered":"https:\/\/braininspirednavigation.com\/?p=3252"},"modified":"2025-11-26T11:40:51","modified_gmt":"2025-11-26T01:40:51","slug":"how-human-animals-robots-encode-and-recall-place","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=3252","title":{"rendered":"How human, animals, robots encode and recall place?"},"content":{"rendered":"<p style=\"text-align: justify;\">Michael Milford and Tobias Fischer. <a href=\"https:\/\/www.annualreviews.org\/content\/journals\/10.1146\/annurev-control-032724-014418\"><strong>Going Places: Place Recognition in Artificial and Natural Systems<\/strong><\/a>. Annu. Rev. Control Robot. Auton. Syst. 2026. 9:7.1-7.27:1\u201328. https:\/\/doi.org\/10.1146\/annurev-control-032724-014418<\/p>\n<p style=\"text-align: justify;\">Abstract<\/p>\n<p style=\"text-align: justify;\">&#8220;<span style=\"color: #ff0000;\"><strong>Place recognition\u2014the ability to identify previously visited locations\u2014is critical for both biological navigation and autonomous systems<\/strong><\/span>. This review synthesizes findings from robotic systems, animal studies, and human research to explore <strong><span style=\"color: #ff0000;\">how different systems encode and recall place<\/span><\/strong>. We examine the <strong><span style=\"color: #ff0000;\">computational and representational strategies<\/span><\/strong> employed across artificial systems, animals, and humans, highlighting convergent solutions such as <strong><span style=\"color: #ff0000;\">topological mapping, cue integration, and memory management.<\/span><\/strong> Animal systems reveal evolved mechanisms for <strong><span style=\"color: #ff0000;\">multimodal navigation and environmental adaptation<\/span><\/strong>, while human studies provide unique insights into semantic place concepts, cultural influences, and introspective capabilities. Artificial systems showcase scalable architectures and data-driven models. We propose a unifying set of concepts by which to consider and develop <strong><span style=\"color: #ff0000;\">place recognition mechanisms<\/span><\/strong> and identify <strong><span style=\"color: #ff0000;\">key challenges such as generalization, robustness, and environmental variability<\/span><\/strong>. This review aims to foster innovations in <strong><span style=\"color: #ff0000;\">artificial localization by connecting future developments in artificial place recognition systems to insights from both animal navigation research and human spatial cognition studies<\/span><\/strong>.&#8221;<\/p>\n<p style=\"text-align: justify;\">Michael Milford and Tobias Fischer. <a href=\"https:\/\/www.annualreviews.org\/content\/journals\/10.1146\/annurev-control-032724-014418\"><strong>Going Places: Place Recognition in Artificial and Natural Systems<\/strong><\/a>. Annu. Rev. Control Robot. Auton. Syst. 2026. 9:7.1-7.27:1\u201328. https:\/\/doi.org\/10.1146\/annurev-control-032724-014418<\/p>\n<p style=\"text-align: justify;\">\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Michael Milford and Tobias Fischer. Going Places: Place Recognition in Artificial and Natural Systems. Annu. Rev. Control Robot. Auton. Syst. 2026. 9:7.1-7.27:1\u201328. https:\/\/doi.org\/10.1146\/annurev-control-032724-014418 Abstract &#8220;Place recognition\u2014the ability to identify previously visited locations\u2014is critical for both biological navigation and autonomous systems. This review synthesizes findings from robotic systems, animal studies, and human research to explore how [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1468,114,96,346],"tags":[1491,279],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/3252"}],"collection":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3252"}],"version-history":[{"count":1,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/3252\/revisions"}],"predecessor-version":[{"id":3253,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/3252\/revisions\/3253"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}