Universal Robots

Novi, MI, June 11, 2026: Teradyne Robotics, the company behind Universal Robots (UR) and Mobile Industrial Robots (MiR), will demonstrate how physical AI is transforming industrial automation at Automate 2026 in Chicago, June 22-25 at booth #1250. “Physical AI is on full display across our robotic solutions at Automate,” said Jean-Pierre Hathout, President of the Teradyne Robotics Group. "The demos we are presenting are real and deployable.

Quality inspection often becomes a silent constraint. Not because standards are weak or tools are missing, but because the work itself is physically demanding and highly repetitive. Inspectors spend hours loading parts into gauges, holding scanners steady, or repeating the same measurements across long shifts. Over time, fatigue sets in. Accuracy becomes harder to maintain, even with experienced staff.

Every hour a skilled welder spends programming a robotic cell for a new part is an hour the arc is off. High-mix production requires frequent changeovers. That often forces your most experienced operators to spend their shifts jogging teach pendants just to get a batch started. You bring in automation to increase throughput, but the setup time outlasts the actual production time.

Humanoid robots are everywhere right now. Scroll through LinkedIn and you’ll see a humanoid completing a half marathon, dancing and performing carefully choreographed routines that suggest a leap forward in robotics capability. For manufacturing leaders already under pressure to improve productivity, the question is unavoidable: is this something we should be planning for — or just watching from a distance?

As robotics AI moves beyond perception and planning into physical interaction, one limitation keeps surfacing in labs and pilot deployments alike. Robots trained on motion and vision alone struggle when real contact begins. Insertion, assembly, polishing, and handovers are not defined by where a robot moves, but by how it interacts with the world. Force, compliance, and physical response determine success, yet most learning pipelines still treat them as secondary effects.

News Teradyne Robotics solutions are part of Flex’s effort across its global manufacturing footprint to standardize automation and accelerate productivity. Flex manufactures core robotics components for Teradyne Robotics, enabling scalable production and rapid global deployment of automation solutions. Expansion builds on a 20-year partnership manufacturing Teradyne semiconductor test equipment, extending collaboration into intelligent automation.

Product & Technology AI Industry Insights Walking the floor at MODEX 2026 in Atlanta last week, the signal was loud and clear: The era of the ‘perfectly programmed grid’ is over. Our world is messy, unstructured, and rarely fits into perfect dimensions. For years, this was the primary barrier to automation. But as I spoke with visitors to our booths, I encountered a profound shift. More and more companies are on the search for physical AI and robotics that react on the fly to real-world variability.

Odense, Denmark, April 21, 2026: In February, Teradyne Robotics A/S, a subsidiary of Teradyne, Inc (NASDAQ:TER) took legal action in Germany against Elite Robots’ German subsidiary, Elite Robots Deutschland GmbH (“Elite Robots Germany“) for copyright infringement of Universal Robots’ software. Now, the Regional Court of Hamburg has issued a preliminary injunction against Elite Robots Germany.

After our Physical AI webinar with SICK, NVIDIA, and Inbolt, one thing stood out: The volume and quality of questions coming from manufacturers trying to understand what Physical AI really means in production. To continue the conversation, five of those questions were selected and put directly to Vice President of AI Robotics Products at Universal Robots Anders Billesø Beck. Hear his perspective in the video below, based on current questions and ongoing work with customers and partners.

News SAN JOSE — California, March 16, 2026: Universal Robots (UR) today unveiled the UR AI Trainer at GTC 2026 in Silicon Valley. Developed in collaboration with Scale AI, the AI Trainer marks a tectonic shift as robots move from pre-programmed applications to fully AI-driven tasks. These systems are powered by robust data generated in AI training cells where robots imitate humans.