{"id":578204,"date":"2024-03-20T08:55:12","date_gmt":"2024-03-20T12:55:12","guid":{"rendered":"https:\/\/www.therobotreport.com\/?p=578204"},"modified":"2024-03-26T13:24:42","modified_gmt":"2024-03-26T17:24:42","slug":"teradyne-partners-with-nvidia-to-add-ai-to-cobots","status":"publish","type":"post","link":"https:\/\/www.therobotreport.com\/teradyne-partners-with-nvidia-to-add-ai-to-cobots\/","title":{"rendered":"Teradyne partners with NVIDIA to add AI to cobots"},"content":{"rendered":"<figure id=\"attachment_105814\" class=\"wp-caption aligncenter\" style=\"width: 770px;\" aria-describedby=\"caption-attachment-105814\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-105814\" src=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-03_2024_NVIDIA-collaboration-announcement.jpg\" sizes=\"(max-width: 770px) 100vw, 770px\" srcset=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-03_2024_NVIDIA-collaboration-announcement.jpg 770w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-03_2024_NVIDIA-collaboration-announcement-300x201.jpg 300w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-03_2024_NVIDIA-collaboration-announcement-768x516.jpg 768w\" alt=\"Universal Robots cobots are gaining precision thanks to NVIDIA\" width=\"770\" height=\"517\"><figcaption id=\"caption-attachment-105814\" class=\"wp-caption-text\">Universal Robots cobots are gaining precision thanks to a collaboration with NVIDIA. Source: Teradyne Robotics<\/figcaption><\/figure>\n<p>SAN JOSE, Calif. \u2014 Artificial intelligence is already making robots smarter. Teradyne Robotics announced at GTC 2024 a collaboration with NVIDIA to add new AI capabilities to collaborative and mobile robots.<\/p>\n<p>North Reading, Mass.-based <a href=\"https:\/\/www.therobotreport.com\/tag\/teradyne\" target=\"_blank\" rel=\"noopener\">Teradyne<\/a> owns collaborative robot maker Universal Robots A\/S (<a href=\"https:\/\/www.therobotreport.com\/tag\/universal-robots\/\" target=\"_blank\" rel=\"noopener\">UR<\/a>) and autonomous mobile robot (<a href=\"https:\/\/mobilerobotguide.com\/category\/autonomous-mobile-robots-amrs\/\" target=\"_blank\" rel=\"noopener\">AMR<\/a>) company Mobile Industrial Robots A\/S (<a href=\"https:\/\/www.therobotreport.com\/tag\/mobile-industrial-robots\/\" target=\"_blank\" rel=\"noopener\">MiR<\/a>), both of which are <a href=\"https:\/\/www.therobotreport.com\/odense-robotics-culture-of-collaboration-can-overcome-economic-challenges-says-ceo\/\" target=\"_blank\" rel=\"noopener\">in Odense, Denmark<\/a>.<\/p>\n<p>\u201cThis is the first of a series of planned AI offerings by Teradyne Robotics,\u201d stated Ujjwal Kumar, group president of Teradyne Robotics. \u201cBy adding high-performance compute hardware to our control systems, as well as investing in targeted upgrades to our software stacks, we are investing to establish UR and MiR as the preferred robotics platforms for developing and deploying AI applications.\u201d<\/p>\n<p>\u201cWe are working to shape the future of robotics by combining NVIDIA\u2019s state-of-the-art AI platform with Teradyne Robotics\u2019 real-world domain expertise in industrial automation,\u201d he added. \u201cWe\u2019re creating the platform for new solutions to previously unsolvable problems.\u201d<\/p>\n<p>Kumar will deliver a keynote at the <a href=\"https:\/\/www.roboticssummit.com\/\" target=\"_blank\" rel=\"noopener\">Robotics Summit &amp; Expo<\/a> in Boston in May.<\/p>\n<h2>Universal Robots integrates accelerated computing<\/h2>\n<div align=\"center\"><iframe loading=\"lazy\" title=\"Teradyne partners with NVIDIA to add AI to collaborative robots\" src=\"https:\/\/www.youtube.com\/embed\/UXwL-v-4IlY?feature=oembed\" width=\"500\" height=\"281\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<p>Universal Robots is demonstrating at this week\u2019s GPU Technology Conference (GTC) an autonomous inspection system using its cobot arms and AI. The <a href=\"https:\/\/www.universal-robots.com\/\" target=\"_blank\" rel=\"noopener\">company<\/a> has integrated <a href=\"https:\/\/www.therobotreport.com\/tag\/nvidia\/\" target=\"_blank\" rel=\"noopener\">NVIDIA<\/a> accelerated computing into its cobots for path planning 50 to 80 times faster than today\u2019s applications.<\/p>\n<p>\u201cNVIDIA has been working with Universal Robots for three years,\u201d Kumar explained to <em>The Robot Report<\/em>. \u201cIts researchers were used to the UR cobots, which are inherently safe and thus good for testing AI.\u201d<\/p>\n<p>\u201cWhile the Microsofts and Googles of the world may own digital AI, NVIDIA wants to be the market leader in physical AI, as CEO Jensen Huang mentioned in his keynote,\u201d he said. \u201cIn digital AI, 90% might be OK for an image or text generated with AI, but that\u2019s not sufficient in the real world. Teradyne has experience with quality and reliability.\u201d<\/p>\n<p>The partners said the application combines the following to increase&nbsp;efficiency for automation customers:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-orin\/\" target=\"_blank\" rel=\"noopener\">NVIDIA Jetson AGX Orin<\/a>, a complete system-on-module (SOM) designed for edge AI applications<\/li>\n<li>cuMotion path planner from the NVIDIA Isaac Manipulator platform<\/li>\n<li>UR\u2019s new <a href=\"https:\/\/www.universal-robots.com\/products\/polyscope-x\/\" target=\"_blank\" rel=\"noopener\">PolyScope X<\/a> software and its UR5e <a href=\"https:\/\/www.universal-robots.com\/products\/\" target=\"_blank\" rel=\"noopener\">cobot platform<\/a><\/li>\n<\/ul>\n<p>The combination of cuMotion, PolyScope X, and the UR cobot makes possible a range of applications that were previously not feasible to automate fully, according to the partners. It can also improve existing programming concepts.<\/p>\n<p>Teradyne and NVIDIA cited benefits including ease of programming and lower computation time for planning, optimizing, and executing trajectories. For customers, this technology can simplify the setup of common industrial applications, facilitating robot adoption for high-mix, low-volume scenarios.<\/p>\n<p>Not only can cuMotion allow automatic calculation of path planning for collision-free trajectories, but it also enables path optimization for other criteria such as speed, minimum wear, or energy efficiency, according to Universal Robots.<\/p>\n<p>At the GTC demonstration, <em>The Robot Report&nbsp;<\/em>watched the cobot-mounted camera move to inspect a workpiece that was randomly reoriented. It did so automatically, and a digital twin mirrored its maneuvers.<\/p>\n<p>For the inspection application, users can load CAD files for up to 20 parts with associated test procedures. NVIDIA\u2019s technology enables the robot to identify each part and procedure and conduct path planning accordingly, explained Andrew Pether, principal innovation research engineer at Universal Robots. He said the combination of cuMotion on AGX Orin for dynamic positioning, Isaac Sim for digital twins of the current state and trajectories can improve inspections for automotive, large electronics, and \u201cwhite goods\u201d\/appliances manufacturers.<\/p>\n<figure id=\"attachment_105818\" class=\"wp-caption aligncenter\" style=\"width: 770px;\" aria-describedby=\"caption-attachment-105818\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-105818\" src=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/IMG_0229.jpg\" sizes=\"(max-width: 770px) 100vw, 770px\" srcset=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/IMG_0229.jpg 770w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/IMG_0229-300x200.jpg 300w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/IMG_0229-768x512.jpg 768w\" alt=\"The UR inspection demo at GTC 2024.\" width=\"770\" height=\"513\"><figcaption id=\"caption-attachment-105818\" class=\"wp-caption-text\">The Universal Robots inspection demo at GTC 2024. Credit: Eugene Demaitre<\/figcaption><\/figure>\n<h2><strong>Teradyne, NVIDIA expect AI robotics apps to grow<\/strong><\/h2>\n<p><a href=\"https:\/\/mobile-industrial-robots.com\/\" target=\"_blank\" rel=\"noopener\">Mobile Industrial Robots<\/a> also announced the <a href=\"https:\/\/www.therobotreport.com\/mobile-industrial-robots-launches-mir1200-autonomous-pallet-jack\/\">MiR1200 Pallet Jack<\/a>, which uses the NVIDIA Jetson AGX Orin module for AI-powered pallet detection. This enables it to identify and precisely move objects, navigate autonomously, and operate in complex factory and warehouse environments.<\/p>\n<p>\u201cThere are two kinds of workers in factories or warehouses \u2014 those in static cells or who are moving,\u201d said Kumar. \u201cWe have robots to help both sorts of tasks. Mobile robots and cobots could jointly meet needs in welding, semiconductors, and more.\u201d<\/p>\n<p>Teradyne noted that autonomous inspection and the autonomous pallet handling are two use cases with significant potential for scalability. The MiR1200 Pallet Jack and UR\u2019s cuMotion demo are the two most recent examples of \u201cphysical AI\u201d solutions, with others already available through Teradyne Robotics\u2019 ecosystem partners, OEMs, and end users.<\/p>\n<p>\u201cNVIDIA\u2019s Isaac platform is enabling increased autonomy in robotics with rapid advancements in simulation, generative AI, foundation models and optimized edge compute,\u201d said Deepu Talla, vice president of robotics and edge computing at NVIDIA. \u201cThis collaboration with Teradyne Robotics will bring the power of AI and accelerated computing to rapidly growing cobot and AMR markets.\u201d<\/p>\n<figure id=\"attachment_105815\" class=\"wp-caption aligncenter\" style=\"width: 770px;\" aria-describedby=\"caption-attachment-105815\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-105815\" src=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-3_2024_MiR1200-PalletJack-4.jpg\" sizes=\"(max-width: 770px) 100vw, 770px\" srcset=\"https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-3_2024_MiR1200-PalletJack-4.jpg 770w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-3_2024_MiR1200-PalletJack-4-300x199.jpg 300w, https:\/\/www.cobottrends.com\/wp-content\/uploads\/2024\/03\/JPG-Version-2-3_2024_MiR1200-PalletJack-4-768x511.jpg 768w\" alt=\"The MiR1200 Pallet Jack has enhanced autonomy thanks to NVIDIA AI.\" width=\"770\" height=\"512\"><figcaption id=\"caption-attachment-105815\" class=\"wp-caption-text\">The MiR1200 Pallet Jack has enhanced autonomy thanks to NVIDIA AI. Source: Teradyne Robotics<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Teradyne units Universal Robots and Mobile Industrial Robots have incorporated NVIDIA AI for the first time.<\/p>\n","protected":false},"author":376,"featured_media":578203,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rbr50_analysis":"","rbr50_state":"","rbr50_country":"","rbr50_description":"","rbr50_numemps":"","rbr50_text_taxonomy_radio":null,"rbr50_text_taxonomy_select":null,"rbr50_url":"","rbr50_yearfounded":"","_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","ngg_post_thumbnail":0,"footnotes":""},"categories":[1382,1349,2009,1401],"tags":[2242,1881,2066,55],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - 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