{"id":1158,"date":"2026-06-18T04:00:00","date_gmt":"2026-06-18T04:00:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/06\/18\/2606-16533\/"},"modified":"2026-06-18T10:59:50","modified_gmt":"2026-06-18T10:59:50","slug":"2606-16533","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/06\/18\/2606-16533\/","title":{"rendered":"[2606.16533] Kairos: A Native World Mannequin Stack for Bodily AI"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div id=\"content-inner\">\n<div id=\"abs\">\n<div class=\"dateline\">\n  [Submitted on 15 Jun 2026 (v1), last revised 16 Jun 2026 (this version, v2)]<\/div>\n<div class=\"authors\"><span class=\"descriptor\">Authors:<\/span>Kairos Workforce: Fei Wang, Shan You, Qiming Zhang, Tao Huang, Zuoyi Fu, Zhisheng Zheng, Yunlong Xi, Feng Lv, Xiaoming Wu, Zeyu Liu, Cong Wan, Pu Li, Ruiqing Yang, Xiaoou Li, Wei Wang, Kangkang Zhu, Yuwei Zhang, Shi Fu, Zheng Zhang, Xiaoning Wu, Xuzeng Fan, Dacheng Tao, Xiaogang Wang<\/div>\n<p>View a PDF of the paper titled Kairos: A Native World Mannequin Stack for Bodily AI, by Kairos Workforce: Fei Wang and 22 different authors<\/p>\n<p>    View PDF<br \/>\n    HTML (experimental)<\/p>\n<blockquote class=\"abstract mathjax\"><p>\n            <span class=\"descriptor\">Summary:<\/span>World fashions are transitioning from passive visible turbines to foundational, operational infrastructure for Bodily AI: they have to natively purchase world data from heterogeneous expertise, preserve persistent states over lengthy horizons, and execute effectively inside actual deployment constraints. We introduce Kairos, a local world mannequin stack designed round these necessities. (1) Kairos learns the world by pioneering a Native Pre-training Paradigm ruled by a Cross-Embodiment Knowledge Curriculum, which organizes open-world movies, human behavioral information, and robotic interactions right into a progressive developmental pathway. (2) Kairos maintains the world by unified world understanding, era, and prediction inside a Native Unified Structure outfitted with Hybrid Linear Temporal Consideration, the place sliding-window consideration captures native dynamics, dilated sliding home windows seize mid-range dependencies, and gated linear consideration maintains persistent international reminiscence. We set up formal theoretical bounds demonstrating that this temporal factorization strictly limits error accumulation, mathematically guaranteeing state propagation throughout prolonged horizons. (3) Kairos runs the world by incorporating a Deployment-Conscious System Co-Design to help low-latency rollout era on server and consumer-grade {hardware} for real-world observation-action-feedback loops. Experiments on embodied world-model, long-horizon, and action-policy benchmarks present that Kairos achieves high degree efficiency whereas providing a powerful efficiency-capability trade-off. Collectively, these outcomes place Kairos as a cohesive operational basis for future self-evolving bodily intelligence.\n    <\/p><\/blockquote><\/div>\n<\/div>\n<div>\n<h2>Submission historical past<\/h2>\n<p> From: Shan You [view email]                  [v1]<br \/>\n        Mon, 15 Jun 2026 10:37:42 UTC (37,584 KB)<br \/>\n    [v2]<br \/>\n        Tue, 16 Jun 2026 11:06:38 UTC (37,584 KB)\n<\/p><\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/arxiv.org\/abs\/2606.16533\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[Submitted on 15 Jun 2026 (v1), last revised 16 Jun 2026 (this version, v2)] Authors:Kairos Workforce: Fei Wang, Shan You, Qiming Zhang, Tao Huang, Zuoyi Fu, Zhisheng Zheng, Yunlong Xi, Feng Lv, Xiaoming Wu, Zeyu Liu, Cong Wan, Pu Li, Ruiqing Yang, Xiaoou Li, Wei Wang, Kangkang Zhu, Yuwei Zhang, Shi Fu, Zheng Zhang, Xiaoning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1160,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"http:\/\/arxiv.org\/static\/browse\/0.3.4\/images\/arxiv-logo-fb.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[1554,105,1555,953,1556,135],"class_list":["post-1158","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-kairos","tag-model","tag-native","tag-physical","tag-stack","tag-world"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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