{"id":671,"date":"2026-03-16T20:26:09","date_gmt":"2026-03-16T20:26:09","guid":{"rendered":"https:\/\/hexroboticsstg.wpenginepowered.com\/?p=671"},"modified":"2026-03-17T20:47:31","modified_gmt":"2026-03-17T20:47:31","slug":"industrial-autonomy-hexagon-robotics-nvidia-physical-ai","status":"publish","type":"post","link":"https:\/\/robotics.hexagon.com\/industrial-autonomy-hexagon-robotics-nvidia-physical-ai\/","title":{"rendered":"Industrial Autonomy Accelerates: Hexagon Robotics pushes Physical AI forward with NVIDIA"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tSan Jose, California, March 16, 2026<\/strong> \u2014 This week marks an important milestone in our collaboration with NVIDIA. Three separate announcements highlight our collaboration in deploying into real-world applications, accelerating the development of humanoid robotics through an open Physical AI Data Factory Blueprint<\/a>, and using NVIDIA IGX Thor<\/a> to bring real-time Physical AI to the industrial edge.<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\u201cOur collaboration with NVIDIA marks a pivotal step in bringing Physical AI out of the lab and into the real world. Together, we\u2019re building humanoid robotics systems that are not only more capable but also fundamentally more human-aware and industry-ready.”
Arnaud Robert, President of Hexagon Robotics<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\tThese initiatives reflect a shared commitment to advancing industrial autonomy through humanoid robotics. Below is a quick overview of each announcement and what it means for our customers.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Hexagon Robotics leverages NVIDIA open robotics platform to accelerate humanoid robotics<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tHexagon Robotics emerges as a key industry leader in NVIDIA\u2019s global robotics ecosystem, leveraging NVIDIA\u2019s open robotics platform, including Cosmos<\/a> world models, Isaac Sim<\/a>, and Isaac Lab<\/a>, to accelerate the design and validation of next-generation humanoid and intelligent robotic systems.\n\nFor Hexagon Robotics\u2019 clients, this collaboration means faster deployment of reliable Physical AI humanoid robots that deliver higher productivity, improved operational accuracy, and more adaptive automation, powered by NVIDIA Jetson Thor<\/a> computing platform, which enables a seamless transition from simulation to real-world performance.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Hexagon Robotics adopts NVIDIA Physical AI Data Factory Blueprint to accelerate Synthetic Data Generation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tHexagon Robotics is among the first developers to apply NVIDIA\u2019s new Physical AI Data Factory Blueprint<\/a> to accelerate perception, mobility, imitation learning, and reinforcement learning pipelines, delivering faster improvements and more capable robotic systems built on richer, more diverse datasets.\n\nThe blueprint streamlines the end-to-end process of curating, generating, and validating massive volumes of high-quality training data, enabling breakthrough speed and reliability in Physical AI development.\n\nBy leveraging NVIDIA\u2019s AI-powered data workflows and cloud-scale orchestration, Hexagon Robotics can deliver smarter, safer, and more adaptable robotics solutions that perform reliably in complex real-world industrial scenarios.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Hexagon Robotics adopts IGX Thor to achieve industrial-grade, real-time Physical AI at the edge<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tHexagon Robotics is leveraging NVIDIA IGX Thor<\/a>, NVIDIA\u2019s newly released industrial-grade platform built for real-time Physical AI at the edge, to power safer, more autonomous robots capable of interpreting complex environments with high-speed sensor processing and multimodal fusion.\nBy combining Hexagon Robotics\u2019 expertise with NVIDIA\u2019s enterprise-grade reliability and functional-safety compute platform, humanoid robots operate more intelligently and consistently in demanding settings such as manufacturing, logistics, and construction.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Together, these announcements reinforce Hexagon Robotics\u2019 position at the forefront of Physical AI, turning advanced NVIDIA technologies into practical, scalable humanoid solutions and bringing increasingly capable, adaptive, robotic systems from simulation into everyday industrial operations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

San Jose, California, March 16, 2026 \u2014 This week marks an important milestone in our collaboration with NVIDIA. Three separate announcements highlight our collaboration in deploying into real-world applications, accelerating the development of humanoid robotics through an open Physical AI Data Factory Blueprint, and using NVIDIA IGX Thor to bring real-time Physical AI to the […]<\/p>\n","protected":false},"author":11,"featured_media":672,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,15],"tags":[22],"class_list":["post-671","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-article","tag-featured"],"featured_image_src":"https:\/\/robotics.hexagon.com\/wp-content\/uploads\/2026\/02\/P90630892_lowRes_humanoid-robotics-at-600x400.jpg","featured_image_src_square":"https:\/\/robotics.hexagon.com\/wp-content\/uploads\/2026\/02\/P90630892_lowRes_humanoid-robotics-at-600x600.jpg","author_info":{"display_name":"Amandine Peltier","author_link":"https:\/\/robotics.hexagon.com\/author\/ap\/"},"_links":{"self":[{"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/posts\/671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/comments?post=671"}],"version-history":[{"count":0,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/posts\/671\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/media\/672"}],"wp:attachment":[{"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/media?parent=671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/categories?post=671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/robotics.hexagon.com\/wp-json\/wp\/v2\/tags?post=671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}