{"id":31937,"date":"2025-03-31T11:45:38","date_gmt":"2025-03-31T03:45:38","guid":{"rendered":"https:\/\/www.1ai.net\/?p=31937"},"modified":"2025-03-31T11:45:38","modified_gmt":"2025-03-31T03:45:38","slug":"%e6%93%8e%e6%9c%97%e6%99%ba%e8%83%bd%e5%8f%91%e5%b8%83%e4%ba%ba%e5%bd%a2%e5%85%b7%e8%ba%ab%e6%9c%8d%e5%8a%a1%e6%9c%ba%e5%99%a8%e4%ba%ba-xman-r1%ef%bc%8c%e5%8f%af%e5%ae%8c%e6%88%90%e7%82%b9","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/31937.html","title":{"rendered":"Dyna-Long Intelligence Releases XMAN-R1, a Humanoid Service Robot That Can Complete the Long-Term Tasks of \"Ordering, Ordering, Delivering and Receiving\""},"content":{"rendered":"<p>March 31, 2011 - 1AI from Services<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%9c%ba%e5%99%a8%e4%ba%ba\" title=\"[Sees articles with [robots] labels]\" target=\"_blank\" >robot<\/a>enterprise<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%93%8e%e6%9c%97%e6%99%ba%e8%83%bd\" title=\"_Other Organiser\" target=\"_blank\" >Dyna-Long Intelligence<\/a>WeChat has learned that DynaLang Intelligence has officially released the humanoid body service robot <a href=\"https:\/\/www.1ai.net\/en\/tag\/xman-r1\" title=\"[SEE ARTICLES WITH [XMAN-R1] LABELS]\" target=\"_blank\" >XMAN-R1<\/a>The first is to create a collaborative ecosystem of multimorphic embodied service robots.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-31938\" title=\"84f7dff0j00styyew00afd000u000gwp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/03\/84f7dff0j00styyew00afd000u000gwp.jpg\" alt=\"84f7dff0j00styyew00afd000u000gwp\" width=\"1080\" height=\"608\" \/><\/p>\n<p>According to the official introduction, XMAN-R1 is designed with the concept of \"job-oriented, affinity and safety\", which is suitable for the service industry scenarios that KLM Intelligence is deeply engaged in. XMAN-R1 has already completed the long task closure loop of \"ordering-meal preparation-delivery-collecting\" in the service scenario, and will explore more scenarios in the future. XMAN-R1 has already accomplished the long task closure of \"ordering-ordering-delivering-collecting\" in the service scene, and will explore more scenes in the future.<\/p>\n<p><strong>XMAN-R1 Design Concept<\/strong><\/p>\n<p><strong>01. Posting<\/strong><\/p>\n<p>XMAN-R1 simulates the movement logic and posture of service workers, from handing objects with both hands to mobile control, integrating into the needs of scenarios, fitting the characteristics of the job, and collaborating with DynaSky's delivery and cleaning robots.<\/p>\n<p><strong>02. Affinity<\/strong><\/p>\n<p>XMAN-R1 breaks the mechanical sense by referring to the human body proportion and incorporates technology and stable design. Equipped with anthropomorphic interaction functions such as large language model and expression feedback to enhance the service affinity.<\/p>\n<p><strong>03. Security<\/strong><\/p>\n<p>XMAN-R1 is equipped with 11 multimodal sensors, combined with self-developed 3D reconstruction technology to realize 360-degree high-precision perception. With intelligent obstacle avoidance capability, XMAN-R1 guarantees human-robot collaboration and crowd safety, continuing the safety gene of DynaSky service robots.<\/p>\n<p>On the basis of 15 years of experience with commercialization of service robots, Perlan intelligence introduced for the first time the concept of \u201crobots jobization\u201d and suggested that the \u201cdebate\u201d model could drive the commercialization of human robots more quickly\u3002<\/p>\n<p>Corresponding to the job standardization process, the work content of the robots can be accurately described and the results can be standardized and evaluated, which will be more conducive to the formation of a closed loop of robotic capabilities in the business environment. Through the process of replicating the \"job-standardized\" work model, the DynaSky Humanoid Service Robot will continue to learn and expand its diverse work capabilities, and continue to enhance its basic action modeling capabilities, thus realizing a wider range of on-the-ground scenarios.<\/p>\n<p>The DynaLong XMAN series will share data and collaborate with DynaLong's existing specialized service robots to seamlessly integrate into DynaLong's business ecosystem and accomplish more closed-loop tasks in service scenarios. In a restaurant, XMAN-R1 can independently perform meal preparation actions such as picking up wine, pouring wine, placing trays, etc., and through inter-machine task scheduling, hand over the meal to delivery robot T10 to deliver the meal according to the optimal path, and finally complete the desktop cleaning task.<\/p>\n<p>DynaSky is able to provide customized multi-morph service robot solutions according to different business needs, and assign task segments in a job-oriented manner to cope with more demands within service scenarios.<\/p>","protected":false},"excerpt":{"rendered":"<p>March 31, 2011 - 1AI learned from WeChat of service robotics company, KLM Intelligence, that KLM Intelligence officially released XMAN-R1, a humanoid embodied service robot, to create a collaborative ecosystem of multi-morphic embodied service robots. According to the official introduction, XMAN-R1 is designed with the concept of \"job-oriented, affinity and safety\", which is suitable for the service industry scenarios ploughed by KLM Intelligence, and XMAN-R1 has already completed the long task closure loop of \"ordering-dispensing-delivering-collecting\" in the service scenarios, and will go to the service robot industry in the future. XMAN-R1 has already accomplished the long task closure of \"ordering-ordering-delivering-collecting\" in the service scenario and will explore more scenarios in the future. XMAN-R1 Design Concept 01. Postalization XMAN-R1 simulates the action logic and posture of service personnel, from handing objects to mobile control, integrating into the needs of the scenario, fitting the characteristics of the post, and cooperating with the delivery and cleaning robots of DynaSky.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[6120,6119,909],"collection":[],"class_list":["post-31937","post","type-post","status-publish","format-standard","hentry","category-news","tag-xman-r1","tag-6119","tag-909"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/31937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=31937"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/31937\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=31937"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=31937"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=31937"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=31937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}