Universal Robots

MHS is a new standard, currently in research preview, for AI agents to safely operate physical equipment. With Anthopic we are taking part in the research preview on our own UR cobots. Given four separate robot applications and plain-language instructions, an agent running on Claude Opus 4.8 coordinated and orchestrated them as a single cell, handing payloads between them. Safety is designed into MHS.

Odense, Denmark, August 27, 2026: Teradyne Robotics A/S, a Danish-based subsidiary of Teradyne, Inc. (NASDAQ:TER) and global leader in advanced robotics, today announced that it has initiated a patent infringement case at the Unified Patent Court (UPC) in Copenhagen against a German subsidiary of the Chinese robot company JAKA.

AI Industry Insights Engineering education may never have been more exciting nor more challenging. The methods that define modern robotics — model-based design, computer vision, reinforcement learning — are changing quickly, and industry is moving toward AI-driven, simulation-first automation. Curricula are not built to change at that speed. Rebuild a course every year to chase the field and you exhaust your faculty; leave it untouched and your graduates arrive in industry already a step behind.

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.