The most important robot on your production floor next year may be one that never exists physically. Across the industry this month, the story has shifted away from new hardware and toward something less visible but far more consequential: the simulation layer that decides whether a robotic cell works before a single bolt is turned.
At Automate 2026 and in a wave of announcements since, the pattern is unmistakable. ABB has folded NVIDIA’s Omniverse libraries into its simulation software. Vention rolled out a digital twin platform with expanded FANUC support, including AI-assisted programming and collision-free motion planning. FANUC itself, alongside Kawasaki and Stellantis, is anchoring industrial AI partnerships where imitation learning and factory-scale digital twins are moving from research slides into real commissioning workflows.
Why Simulation Became the Bottleneck
For two decades, the hard part of automation was the robot. That problem is solved. A FANUC arm will hit tight repeatability and run for years with almost no intervention. The hard part now is everything around it: reach studies, cycle time validation, gripper design, fixture layout, singularity avoidance, and the dozens of small integration decisions that historically only revealed themselves during commissioning — when changing your mind is expensive.
Digital twins collapse that risk. Offline programming tools such as FANUC ROBOGUIDE let an integrator build the entire cell virtually, prove the cycle time, verify every reach, and generate the robot program — all before the equipment arrives on site. When AI-driven motion planning is layered on top, paths that used to take an engineer days to tune can be generated and validated in hours.
What This Changes for Israeli Manufacturers
This matters more in Israel than in most markets, for structural reasons. Israeli plants tend to run high-mix, lower-volume production: medical devices, defense components, electronics, food processing. The classic objection to automation here has never been “robots don’t work” — it is “our product changes too often to justify the engineering.”
Simulation-first integration attacks that objection directly. When a cell can be re-validated virtually for a new part number in days rather than re-commissioned on the floor over weeks, the economics of a high-mix line change fundamentally. Changeover stops being a capital event and becomes a software task.
There is a second benefit plant managers tend to appreciate immediately: certainty before commitment. A validated digital twin means the cycle time in the proposal is the cycle time you get. Payback calculations stop being estimates.
The Benchmark Israel Should Be Watching
The International Federation of Robotics reports that Western Europe now averages a record 267 industrial robots per 10,000 manufacturing employees, with North America at 204 and South Korea well above 1,000. Global operational stock has passed 4.6 million units, and annual installations are on track to exceed 700,000 by 2028.
Israeli industry competes with those manufacturers on export markets, on quality standards, and increasingly on delivery speed. Robot density is a proxy for output per worker — and the gap compounds every year it goes unaddressed. The tools that close it are now cheaper, faster to deploy, and considerably less risky than they were even two years ago.
Assatec has been FANUC’s exclusive partner in Israel since 1997, and we build every system in simulation before it reaches your floor: reach studies, cycle time proof, and full offline programming, so what you approve is what you get.
Considering automation but unsure whether your product mix justifies it? Let us build the digital twin and show you the numbers before you commit. Talk to our engineering team
