Data Collection Critical for Humanoid Robotics Training

Dow Jones

Jul 06

0418 GMT - Data collection is emerging as a critical factor for humanoid robotics in 2026, Nomura analysts say in a research note. For shipments of every 100,000 units of humanoid robots, that requires 10 million hours of data, they estimate. There are four different types of data collected to train robots including no-embodiment data, or human movements captured through wearable devices. Another type of data is collected via a human operator remotely controlling a physical robot while the system records synchronized data like camera feeds and joint states to train foundation models, they say. Nomura thinks a software-hardware closed loop--spanning collection, transmission, evaluation, training, deployment and debugging--is a structurally defensible business model for pure-play data vendors. (sherry.qin@wsj.com)

(END) Dow Jones Newswires

July 06, 2026 00:18 ET (04:18 GMT)

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For shipments of every 100,000 units of humanoid robots, that requires 10 million hours of data, they estimate. There are four different types of data collected to train robots including no-embodiment data, or human movements captured through wearable devices. Another type of data is collected via a human operator remotely controlling a physical robot while the system records synchronized data like camera feeds and joint states to train foundation models, they say. Nomura thinks a software-hardware closed loop--spanning collection, transmission, evaluation, training, deployment and debugging--is a structurally defensible business model for pure-play data vendors. (sherry.qin@wsj.com) \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n<p>\n  (END) Dow Jones Newswires\n</p>\n<p>\n  July 06, 2026 00:18 ET (04:18 GMT)\n</p>\n<p>\n  Copyright (c) 2026 Dow Jones &amp; Company, Inc.\n</p>\n</font>","source":null,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Data Collection Critical for Humanoid Robotics Training</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nData Collection Critical for Humanoid Robotics Training\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2026-07-06 12:18</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\n     0418 GMT - Data collection is emerging as a critical factor for humanoid robotics in 2026, Nomura analysts say in a research note. For shipments of every 100,000 units of humanoid robots, that requires 10 million hours of data, they estimate. There are four different types of data collected to train robots including no-embodiment data, or human movements captured through wearable devices. Another type of data is collected via a human operator remotely controlling a physical robot while the system records synchronized data like camera feeds and joint states to train foundation models, they say. Nomura thinks a software-hardware closed loop--spanning collection, transmission, evaluation, training, deployment and debugging--is a structurally defensible business model for pure-play data vendors. (sherry.qin@wsj.com) \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n<p>\n  (END) Dow Jones Newswires\n</p>\n<p>\n  July 06, 2026 00:18 ET (04:18 GMT)\n</p>\n<p>\n  Copyright (c) 2026 Dow Jones &amp; Company, Inc.\n</p>\n</font>\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"BK4588","symbol_name":"碎股","start_time":0,"source_url":"https://dowjonesnews.com/newdjn/logon.aspx?AL=N","article_id":"2649648233","we_media_id":"106","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2649648233","pubTimestamp":1783311480,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Dow Jones","introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"summary":"0418 GMT - Data collection is emerging as a critical factor for humanoid robotics in 2026, Nomura analysts say in a research note. For shipments of every 100,000 units of humanoid robots, that requires 10 million hours of data, they estimate. There are four different types of data collected to train robots including no-embodiment data, or human movements captured through wearable devices. Another type of data is collected via a human operator remotely controlling a physical robot while the system records synchronized data like camera feeds and joint states to train foundation models, they say. Nomura thinks a software-hardware closed loop--spanning collection, transmission, evaluation, training, deployment and debugging--is a structurally defensible business model for pure-play data vendors.  Dow Jones NewswiresJuly 06, 2026 00:18 ET Copyright  2026 Dow Jones & Company, Inc.","collect":0,"end_time":0,"defaultTopTitle":"","property":[],"viewcount":null,"language":"en","relate_stocks":{"BK4588":"碎股","BK4585":"ETF&股票定投概念","BOTZ":"Global X Robotics & Artificial Intelligence ETF","ROBO":"全球机器人自动化ETF-ROBO"},"translate_title":"数据收集对人形机器人训练至关重要","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"ROBO":1.5,"BOTZ":1.5},"content_text":"0418 GMT - Data collection is emerging as a critical factor for humanoid robotics in 2026, Nomura analysts say in a research note. For shipments of every 100,000 units of humanoid robots, that requires 10 million hours of data, they estimate. There are four different types of data collected to train robots including no-embodiment data, or human movements captured through wearable devices. Another type of data is collected via a human operator remotely controlling a physical robot while the system records synchronized data like camera feeds and joint states to train foundation models, they say. Nomura thinks a software-hardware closed loop--spanning collection, transmission, evaluation, training, deployment and debugging--is a structurally defensible business model for pure-play data vendors. (sherry.qin@wsj.com) \n\n\n \n\n\n  (END) Dow Jones Newswires\n\n\n  July 06, 2026 00:18 ET (04:18 GMT)\n\n\n  Copyright (c) 2026 Dow Jones & Company, Inc.","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":true,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":true,"need_login_tip":false,"code":"91000000","status":"200"}}}