{"id":9019,"date":"2026-04-21T00:29:24","date_gmt":"2026-04-21T00:29:24","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/9019\/"},"modified":"2026-04-21T00:29:24","modified_gmt":"2026-04-21T00:29:24","slug":"nomagic-hires-new-chief-scientist-from-google-deepmind-to-lead-development-of-foundational-models-for-robotics","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/9019\/","title":{"rendered":"Nomagic Hires New Chief Scientist from Google DeepMind to Lead Development of Foundational Models for Robotics"},"content":{"rendered":"<p>\t\t\t\t<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/04\/24e3a7e4-7837-4604-8501-05bb04664138.png\" alt=\"Nomagic.png\" width=\"172\" height=\"74\"\/><br \/>\n Dr. Markus Wulfmeier brings deep expertise in reinforcement learning, robotics, and Physical AI to advance Nomagic\u2019s software-driven automation platform.<\/p>\n<p align=\"left\">Nomagic, a leading robotics company applying advanced Physical AI to warehouse automation, has appointed\u00a0Markus Wulfmeier, formerly of Google DeepMind, as Chief Scientist. In this newly created role, Dr. Wulfmeier will lead Nomagic\u2019s research on Vision-Language-Action (VLA) models, accelerating the company\u2019s Robotics Foundation Model (RFM), a next-generation AI system designed to generalize across complex physical tasks.<\/p>\n<p align=\"left\">Working with Nomagic\u2019s engineering and research teams, he will leverage the company\u2019s \u201cLibrary of Chaos\u201d \u2013 an ever-growing proprietary dataset of millions of real-world edge cases collected from live warehouse operations\u00a0 \u00a0to train and validate advanced end-to-end VLA models. His work will also advance complex object manipulation, combining real-world data with new demonstrations, while enhancing both online and offline reinforcement learning capabilities across Nomagic\u2019s software stack.<\/p>\n<p align=\"left\">Also Read:\u00a0<a href=\"https:\/\/aithority.com\/interviews\/aithority-interview-with-glenn-jocher-founder-ceo-ultralytics\/\" target=\"_blank\" rel=\"noopener nofollow\">AiThority Interview with Glenn Jocher, Founder &amp; CEO, Ultralytics<\/a><\/p>\n<p>\u201cMarkus joins Nomagic at a pivotal moment as we scale the development and deployment of Physical AI systems that are transforming warehouse fulfillment,\u201d said Kacper Nowicki, CEO of Nomagic. \u201cJust as large language models have redefined digital AI, VLA models are redefining automation in the physical world. Markus will help us accelerate the development of foundational models built on real-world data \u2013 enabling high-reliability robot operations both for edge case resolution and completely new use cases.\u201d<\/p>\n<p>\u201cBuilding physical intelligence is about drastically increasing capability while reducing the cost of your next deployment,\u201d said Markus Wulfmeier, Chief Scientist at Nomagic. \u201cInstead of focusing on teleoperation or simulation, Nomagic is uniquely positioned to leverage a continuous stream of production data. We are building the \u2018internet data\u2019 of robotics \u2013 bootstrapping physical AI with machines that are already generating value. I\u2019m eager to collaborate with the wider community and advance research where it actually counts: grounded in deployment.\u201d<\/p>\n<p>As Nomagic develops its cutting-edge Physical AI solutions, it is continuously producing its own analog of internet-scale information: deployment data from real systems operating in production environments. This \u201cinternet data\u201d of robotics is the by-product of machines doing useful work. By uniting world-class machine learning expertise and large-scale, real-world interaction training data under Dr. Wulfmeier\u2019s leadership, the company is strengthening its position as a global leader in the development of Robotics Foundation Models.<\/p>\n<p>Dr. Wulfmeier was a core member of Gemini Robotics, where he helped shape its post-training strategy. He conducted postdoctoral research at the Oxford Robotics Institute and Oxford University\u2019s New College, and has held visiting scholar positions at\u00a0UC Berkeley, ETH Zurich and MIT. His research has been published in\u00a0Science Robotics,\u00a0Science, and leading machine learning and robotics conferences and journals. Dr. Wulfmeier holds a Ph.D. in Engineering Science from the University of Oxford and degrees from Leibniz Universit\u00e4t Hannover. He has been awarded four patents in machine learning and robotics and is a member of\u00a0ELLIS.<\/p>\n<p>The announcement is made in conjunction with\u00a0MODEX 2026, where Nomagic has been showcasing\u00a0Pick, their flagship AI-powered robotic picking system, and\u00a0Spot, the intelligent picking software layer that shows how its AI makes decisions. The company is continuing to expand in the U.S., with plans to open a new headquarters and grow its engineering and commercial teams.<\/p>\n<p>Also Read:\u00a0<a href=\"https:\/\/aithority.com\/machine-learning\/the-infrastructure-war-behind-the-ai-boom\/\" target=\"_blank\" rel=\"noopener nofollow\">\u200b\u200bThe Infrastructure War Behind the AI Boom<\/a><\/p>\n<p>[To share your insights with us, please write to\u00a0<a tabindex=\"-1\" title=\"https:\/\/aithority.com\/news\/nomagic-hires-new-chief-scientist-from-google-deepmind-to-lead-development-of-foundational-models-for-robotics\/mailto:psen@itechseries.com\" href=\"https:\/\/aithority.com\/news\/nomagic-hires-new-chief-scientist-from-google-deepmind-to-lead-development-of-foundational-models-for-robotics\/mailto:psen@itechseries.com\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">psen@itechseries.com]<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Dr. Markus Wulfmeier brings deep expertise in reinforcement learning, robotics, and Physical AI to advance Nomagic\u2019s software-driven automation&hellip;\n","protected":false},"author":2,"featured_media":9020,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[7738,5044,7739,132,7543,7740,708,7741,377],"class_list":{"0":"post-9019","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-google","8":"tag-ai-system","9":"tag-deepmind","10":"tag-digital-ai","11":"tag-google","12":"tag-google-deepmind","13":"tag-nomagic","14":"tag-physical-ai","15":"tag-reinforcement-learning","16":"tag-robotics"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/9019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=9019"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/9019\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/9020"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=9019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=9019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=9019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}