Lockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test

Reuters12-04

<a href="https://laohu8.com/S/LMT">Lockheed</a> Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test

Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management (AI/MCM) on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE Block 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Lockheed Martin Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: DA37966) on December 04, 2025, and is solely responsible for the information contained therein.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap

Leave a comment

{"i18n":{"language":"en_US"},"isChannel":false,"data":{"share":"https://ttm.financial/m/news/2588188717?lang=en_US&edition=fundamental","thumbnail":"","is_english":true,"pubTime":"2025-12-04 22:00","share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","id":"2588188717","market":"nz","top_or_hot":-1,"title":"Lockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test","media":"Reuters","content":"<html xmlns=\"http://www.w3.org/1999/xhtml\" xmlns:newsg2=\"http://iptc.org/std/nar/2006-10-01/\" xmlns:xhtml=\"http://www.w3.org/1999/xhtml\"><head><title>\n      <a href=\"https://laohu8.com/S/LMT\">Lockheed</a> Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test\n    </title></head><body><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n        Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management (AI/MCM) on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE <a href=\"https://laohu8.com/S/XYZ\">Block</a> 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system.\n      </p>\n</div><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<em>Disclaimer: <span>This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Lockheed Martin Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: DA37966) on December 04, 2025, and is solely responsible for the information contained therein.</span></em>\n</div></body></html>","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>Lockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test</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\">\nLockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1032215980\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2025-12-04 22:00</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html xmlns=\"http://www.w3.org/1999/xhtml\" xmlns:newsg2=\"http://iptc.org/std/nar/2006-10-01/\" xmlns:xhtml=\"http://www.w3.org/1999/xhtml\"><head><title>\n      <a href=\"https://laohu8.com/S/LMT\">Lockheed</a> Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test\n    </title></head><body><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n        Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management (AI/MCM) on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE <a href=\"https://laohu8.com/S/XYZ\">Block</a> 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system.\n      </p>\n</div><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<em>Disclaimer: <span>This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Lockheed Martin Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: DA37966) on December 04, 2025, and is solely responsible for the information contained therein.</span></em>\n</div></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU1929549753.HKD","symbol_name":"FRANKLIN INCOME \"A\" (HKD) INC","start_time":0,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20251204:nNDL5zLKrj:1","article_id":"2588188717","we_media_id":"1032215980","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2588188717","pubTimestamp":1764856843,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Reuters","introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"id":"1032215980","head_image":"https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48"},"summary":"Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management  on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE Block 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system.Disclaimer: This news brief was created by Public Technologies  using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial,","collect":0,"end_time":0,"defaultTopTitle":"","property":[],"viewcount":null,"language":"en","relate_stocks":{"LU1929549753.HKD":"FRANKLIN INCOME \"A\" (HKD) INC","LMT":"洛克希德马丁","BK4604":"机器人概念","LU1244550494.USD":"FRANKLIN GLOBAL MULTI-ASSET INCOME \"A\" (USDHEDGED) ACC","BK4588":"碎股","BK4585":"ETF&股票定投概念","LU1162221912.USD":"FRANKLIN INCOME \"A\" (USD) ACC","LU1244550221.USD":"FRANKLIN GLOBAL MULTI-ASSET  INCOME \"A\" (USDHEDGED) INC (M)","BK4516":"特朗普概念","LU1244550577.SGD":"FTIF - Franklin Global Multi-Asset Income A (Mdis) SGD-H1","LU0320765646.SGD":"FTIF - Franklin Income A MDIS SGD-H1","BK4564":"太空概念","BK4187":"航天航空与国防"},"translate_title":"洛克希德·马丁公司在自主无人机测试中展示人工智能驱动的应急管理","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"LMT":0.9},"content_text":"Lockheed Martin Showcases AI-Driven Contingency Management in Autonomous Drone Test\n    \n\n        Lockheed Martin Corporation has announced the successful completion of a live demonstration showcasing artificial intelligence-driven mission contingency management (AI/MCM) on autonomous unmanned aerial vehicles. The demonstration, already conducted, featured a Stalker XE Block 25 UAV and a modified Alta X 2.0 drone. The AI system enabled rapid automatic adjustment of mission plans in response to unexpected problems, such as fuel contingencies, allowing for seamless re-tasking of drones and efficient operator decision-making. This research highlights advancements in autonomous decision-making, multi-domain integration, and the ability for different unmanned systems to work together under a unified command-and-control system.\n      \n\nDisclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Lockheed Martin Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: DA37966) on December 04, 2025, and is solely responsible for the information contained therein.","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":true,"deviceId":"web-server-community-laohu8-v3","version":"4.35.10","shortVersion":"4.35.10","platform":"web","vendor":"web","appName":"ttm","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2588188717","isCrawlerRequest":true}