Artificial intelligence (AI) will be widely adopted in robotics applications over the next five to 10 years, according to the International Federation of Robotics (IFR).
In a recent position paper, the IFR says this level of adoption will be driven by a quicker return on investment (ROI) compared to non-AI systems, notable in terms of increased efficiency and a reduction in errors and maintenance costs.
While the precursors to what we now call AI have been embedded into robotics applications for many years, the federation says AI has become more capable and accessible.
“…it is transforming from a supporting technology into a powerful enabler, driving more seamless implementation and opening the door to wider robot adoption across industries,” the group says in its report.
The report says the idea of a new generation of AI-powered robots is fueled by AI tech companies and analysts forecasting a multitrillion-dollar market, with robot and chip manufacturers investing in dedicated hardware and software that simulate real-world environments. This so-called Physical AI allows robots to train themselves in virtual environments and operate by experience, rather than programming.
And it’s a perfect fit for the industrial and manufacturing sectors that have already adopted robotics.
Logistics and warehousing are common applications, driven by high demand, available investment and relatively controlled environments. The manufacturing and industrial automation sector is also a focal point where AI and robotics are playing an increasing role in modern manufacturing, namely automotive, electronics, and pharma, because of the high-skill production processes, factory automation systems, and precision assembly tasks.
AI in Aerospace
One example of how this is playing out on the shop floor is the recent announcement from GE Aerospace outlining a multi-year investment plan of up to $300 million to expand its engine repair capabilities in Singapore using AI-enabled inspection, predictive maintenance, and automated repair.
“The investment supports new technologies and repair processes, applying our FLIGHT DECK fundamentals to raise the bar on SQDC (Safety, Quality, Delivery, and Cost) for customers. With predictive maintenance and automated digital inspection, repairs become more predictable in time and cost, improving safety, durability, efficiency, and expense outcomes,” said Iain Rodger, Managing Director, GE Aerospace Component Repair Singapore.
GE said the investment covers new advanced technology deployment and capabilities expansion; new module repair capability for CFM LEAP-1A/1B High-Pressure Turbines (HPT); expanded engine component portfolio to enhance regional support as Premier service center for APAC; a facility for REACH (Registration, Evaluation, and Authorization of Chemicals) compliant coatings and industrialization of the coating and anti-corrosion coating repair; and an AI Center of Excellence to develop MRO and on-wing Support services through a data fabric ecosystem, automated digital inspection, and predictive maintenance.
Originally written by: Michael Ouellette
Source: engineering.com
Published on: 23 February 2026
Link to original article: AI-powered manufacturing robotics will be common in 5-10 years, says IFR
