Digitalization, electrification, and autonomy make the machine industry to be on the verge of a disruptive transformation towards intelligent machinery. Real-world machines are being demonstrated around globe in environments such as indoor and outdoor worksites (mines, airports, and harbours), urban spaces (roads and cities), and in nature (forest, air, and sea) for applications such as land moving, fire rescue, and transportation of goods and people.

The IWM program performs doctoral training and applied research on intelligent work machines. The research develops and applies state-of-art methods, typically simulation or data-based, in robotics, mechatronics, machine design, machine dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning and robotic learning, and business models related to intelligent machines to improve safety as well as economic and environmental sustainability of work machines.