NVIDIA at Week of Robotics
May 6-8, 2026 | Odense, Denmark
Physical AI is redefining robotics. Moving beyond rigid automation, the next generation of autonomous machines can perceive, reason, and act in the real world.
At Week of Robotics in Odense, NVIDIA will showcase how teams train, simulate, and deploy intelligent machines using an open development stack and three-computer architecture — shifting from prototype to production faster.
Join us alongside industry leaders like ABB, KUKA, and Universal Robots to see how manufacturers, developers, and startups are creating a new wave of intelligent machines.
NextGen Robotics LIVE: NVIDIA Keynote and Sessions
Keynote
From Automation to Autonomy: Industrial Evolution in the Age of Physical AI
Join Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA, as he shares how the industry is evolving beyond rigid automation toward adaptive autonomy. Learn how NVIDIA’s accelerated computing platform and three-computer approach help bridge the data gap and speed the development of intelligent machines. From digital twins and agentic AI workflows to real-world deployments, learn how NVIDIA and our global ecosystem are driving the future of robotics.
Wednesday, May 6 | 11:00 a.m. CEST | UCL University Lillebaelt | Main Stage
Featured Sessions
Wednesday, May 6 | 12:45 p.m. CEST | Main Stage
Panel: From Edge Intelligence to Scalable Automation
Join Timo Kistner, EMEA Industrial Lead, AI for Manufacturing at NVIDIA, for a panel discussion with experts from Analog Devices, Stereolabs, and Universal Robots on scaling industrial autonomy. Discover how an integrated ecosystem — combining precision sensing, advanced vision, and collaborative robotics — accelerates the shift from prototype to production. Learn how a unified approach to training, simulation, and edge deployment is helping manufacturers optimize with digital twins and build scalable AI-driven factories.
Wednesday, May 6 | 3:00 p.m. CEST | UCL University Lillebaelt | R&D Workshop Track 2
Workshop: How To Build End‑To‑End Physical AI Systems for Robots
Join Kartik Sachdev, Solutions Architect at NVIDIA, for a technical walkthrough of the workflows behind intelligent, adaptive machines. Explore the physical AI lifecycle — from data curation and OpenUSD-based digital twin to high-fidelity simulation and hardware deployment. Learn how to use proven toolchains to move beyond scripted behavior to accelerate autonomous robots and humanoids.
Thursday, May 7 | 10:00 a.m. – 4:00 p.m. CEST | ROBOTBRAG | Danish Technological Institute | Startup Tent
Robotics Startup Challenge
NVIDIA joins the judging panel for the Odense Robotics Startup Fund Pitch Competition at 2:00 p.m., showcasing Denmark’s most promising early-stage robotics and automation startups. Finalists will pitch cutting-edge solutions to investors and industry leaders, competing for a 12,500 DKK cash prize sponsored by Analog Devices. We look forward to supporting the Danish robotics ecosystem to help spotlight innovators shaping the future of automation.
Week of Robotics 2026: FAQs
The event takes place from May 5–8, 2026, in Odense, Denmark.
The event is a collaborative initiative led by Odense Robotics, DIRA, and the Danish Technological Institute.
The overall program includes NextGen Robotics LIVE, the ROBOTBRAG gathering, the Global Robotics Cluster Assembly, Delegation Tours, and a Startup & Investor Event.
Registration for the event, as promoted by NVIDIA, is available for free.
Week of Robotics is an in-person conference in Odense, Denmark, with activities like Delegation Tours and the "After Hour" event at Storms Pakhus.
NextGen Robotics LIVE is a dedicated conference within the Week of Robotics program that focuses specifically on AI, drones, and autonomous systems.
ROBOTBRAG is a long-standing gathering, part of Week of Robotics, where companies showcase their active technologies. The Robotics Startup Challenge is also held at ROBOTBRAG.
Industry leaders like ABB, KUKA, and Universal Robots are participating. NVIDIA is also present, and will be joined by experts from Analog Devices and Stereolabs for a panel discussion.
NVIDIA will demonstrate how its open development stack and three-computer architecture enable teams to accelerate the transition from prototype to production of autonomous machines using physical AI.
Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA, will deliver the keynote presentation. The keynote title is "From Automation to Autonomy: Industrial Evolution in the Age of Physical AI".
The keynote is scheduled for Wednesday, May 6, at 11:00 a.m. CEST on the Main Stage.
The panel, "From Edge Intelligence to Scalable Automation," will feature Timo Kistner, EMEA Industrial Lead, AI for Manufacturing at NVIDIA, and experts from Analog Devices, Stereolabs, and Universal Robots. It will explore how an integrated ecosystem accelerates the shift to production and helps manufacturers build scalable AI-driven factories using digital twins.
The panel is scheduled for Wednesday, May 6, at 12:45 p.m. CEST on the Main Stage.
Kartik Sachdev, Solutions Architect at NVIDIA, will host a workshop titled, "How To Build End To End Physical AI Systems for Robots".
The workshop will be held on Wednesday, May 6, at 3:00 p.m. CEST in the R&D Workshop Track 2.
The Robotics Startup Challenge is a pitch competition for Denmark’s most promising early-stage robotics and automation startups. Finalists pitch solutions to investors and industry leaders, competing for a 12,500 DKK cash prize sponsored by Analog Devices. NVIDIA will join the judging panel for this competition.
The challenge takes place on Thursday, May 7, from 10:00 a.m.–4:00 p.m. CEST at ROBOTBRAG.
Attendees can participate in a Delegation Tour, which includes visits to research hubs like the SDU Center for Large Structure Production and the UAS Denmark Test Center.
Key technologies include the Mega NVIDIA Omniverse™ Blueprint for industrial digital twins, NVIDIA Metropolis for visual AI agents and copilots, and NVIDIA Isaac™ for accelerating robotics systems, libraries, frameworks, and AI models.
NVIDIA Technologies Accelerating the Next Era of Industrial AI
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