AI-controlled heavy machinery tested for dangerous conditions in Finland
Researchers in eastern Finland are developing an AI-operated excavator that could eventually perform high-risk tasks such as post-war reconstruction, according to a report by Finnish public broadcaster Yle.
The Savonia University of Applied Sciences and Ylä-Savo Vocational College are currently testing a remotely controlled tracked excavator powered by artificial intelligence and machine learning. The project aims to create a fully autonomous machine capable of operating in hazardous environments, including conflict zones.
At Savonia’s Microkatu campus in Kuopio, engineers are collecting data to refine AI control systems that eliminate the need for an on-board operator. Research engineer Eetu Miettinen explained that the team is focusing on precise hydraulic arm movements to perform tasks with minimal effort. Initial tests are conducted via computer simulations to avoid risks before transitioning to real-world machinery.
“We’re ensuring the hydraulic boom moves accurately and performs meaningful tasks with relatively little input,” Miettinen said.
The project aligns with eastern Finland’s strong industrial base in heavy machinery, where companies face labor shortages. Harri Komulainen, a research and development specialist at Savonia, noted that even partial AI automation could significantly boost productivity. “There’s a real need for skilled operators, and AI can help bridge that gap,” he said.
Meanwhile, Ylä-Savo Vocational College is testing Finland’s first fully electric Komatsu PC excavator at its Toivala unit. The machine, retrofitted with an electronic valve, is currently operated remotely via an Xbox controller. Instructor Jani Pitkänen said the goal is full AI autonomy: “Right now, we’re controlling it externally, but the next step is self-driving functionality using AI.”
The €1.3 million project, partly funded by the EU, involves regional firms like Ponsse, Normet, and Mantsinen. While Finland has long researched autonomous machinery—with global examples including AI-driven excavators building stone walls—eastern Finland aims to strengthen its position in the field. Lecturer Arto Liuha emphasized the technology’s potential for dangerous environments, such as demining: “A remotely operated or autonomous machine would be invaluable in areas with unexploded ordnance.”
The underlying neural network technology mirrors that used in AI chatbots but is applied to physical machinery. Liuha described the region’s role as “sharpening the spear” for future advancements in the sector.