Robots enter the World Cup, shifting how large-scale events are run and experienced
Updated
April 8, 2026 10:35 AM
Hyundai Motor Company Dealership, Alabama, US. PHOTO: ADOBE STOCK
As the FIFA World Cup 2026 approaches, attention is beginning to shift beyond the matches themselves to how an event of this scale is organised and run. Managing teams, coordinating venues and handling large crowds requires a system that works with precision. This time, robotics is set to become part of that system.
Hyundai Motor Company, a long-time FIFA partner, is expanding its role for the 2026 tournament. Alongside its traditional responsibility of providing vehicles for teams, officials and media, the company will introduce robotics in collaboration with Boston Dynamics. Robots including Atlas and Spot are expected to be deployed at selected venues.
According to the announcement, these systems will be used to support tournament operations while contributing to safety and efficiency. They will also play a role in shaping how fans experience the event, indicating a broader use of technology within the tournament environment. While specific use cases have not been detailed, the inclusion of robotics reflects a growing effort to integrate advanced systems into large-scale public events.
The direction was introduced through the company’s global campaign, “Next Starts Now,” unveiled at the 2026 New York International Auto Show. The campaign is positioned around its wider focus on innovation across mobility and robotics, aligning with its long-standing partnership with FIFA, which now spans more than two decades. As part of the 2026 tournament, the company will also deploy its largest mobility fleet to date, working alongside these newer systems across venues.
Beyond operations, the initiative extends into community engagement. Youth football camps are set to take place across four host cities in the United States—Atlanta, Miami, New Jersey and Los Angeles—targeting children between the ages of six and twelve. A global drawing programme will also invite young fans to submit artwork supporting their national teams, with selected designs to be featured on official team buses during the tournament.
Taken together, the introduction of robotics alongside existing infrastructure points to a gradual shift in how major events are supported. Rather than operating only behind the scenes, technology is becoming more visible within the event itself. How these systems perform in a live, large-scale setting will become clearer once the tournament begins.
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Redefining sensor performance with advanced physical AI and signal processing.
Updated
January 8, 2026 6:32 PM
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Robot with human features, equipped with a visual sensor. PHOTO: UNSPLASH
Atomathic, the company once known as Neural Propulsion Systems, is stepping into the spotlight with a bold claim: its new AI platforms can help machines “see the invisible”. With the commercial launch of AIDAR™ and AISIR™, the company says it is opening a new chapter for physical AI, AI sensing and advanced sensor technology across automotive, aviation, defense, robotics and semiconductor manufacturing.
The idea behind these platforms is simple yet ambitious. Machines gather enormous amounts of signal data, yet they still struggle to understand the faint, fast or hidden details that matter most when making decisions. Atomathic says its software closes that gap. By applying AI signal processing directly to raw physical signals, the company aims to help sensors pick up subtle patterns that traditional systems miss, enabling faster reactions and more confident autonomous system performance.
"To realize the promise of physical AI, machines must achieve greater autonomy, precision and real-time decision-making—and Atomathic is defining that future," said Dr. Behrooz Rezvani, Founder and CEO of Atomathic. "We make the invisible visible. Our technology fuses the rigor of mathematics with the power of AI to transform how sensors and machines interact with the world—unlocking capabilities once thought to be theoretical. What can be imagined mathematically can now be realized physically."
This technical shift is powered by Atomathic’s deeper mathematical framework. The core of its approach is a method called hyperdefinition technology, which uses the Atomic Norm and fast computational techniques to map sparse physical signals. In simple terms, it pulls clarity out of chaos. This enables ultra-high-resolution signal visualization in real time—something the company claims has never been achieved at this scale in real-time sensing.
AIDAR and AISIR are already being trialled and integrated across multiple sectors and they’re designed to work with a broad range of hardware. That hardware-agnostic design is poised to matter even more as industries shift toward richer, more detailed sensing. Analysts expect the automotive sensor market to surge in the coming years, with radar imaging, next-gen ADAS systems and high-precision machine perception playing increasingly central roles.
Atomathic’s technology comes from a tight-knit team with deep roots in mathematics, machine intelligence and AI research, drawing talent from institutions such as Caltech, UCLA, Stanford and the Technical University of Munich. After seven years of development, the company is ready to show its progress publicly, starting with demonstrations at CES 2026 in Las Vegas.
Suppose the future of autonomy depends on machines perceiving the world with far greater fidelity. In that case, Atomathic is betting that the next leap forward won’t come from more hardware, but from rethinking the math behind the signal—and redefining what physical AI can do.