Samuli Soutukorva

VTT Technical Research Centre of Finland

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About

Samuli Soutukorva is a researcher at the forefront of industrial robotics and digital automation, with a focus on bridging the gap between complex hardware and intuitive software. His key research areas include object detection and pose estimation for robotic manipulation, as well as the development of skill-based programming paradigms for flexible manufacturing. Soutukorva’s most notable contribution is a feature-based method for object detection and pose estimation, which leverages 3D cameras and CAD models to enable robots to precisely locate and handle industrial parts. This work, published in 2022 and cited six times, provides a practical, software-driven solution for real-world factory automation. More recently, he has explored the programming of skill-based robots, addressing the growing need for agile, reconfigurable manufacturing systems in the era of Industry 4.0. By emphasizing modular software over traditional hard-coding, Soutukorva’s research helps reduce setup times and increase production flexibility. His work is particularly valuable for students and engineers seeking to understand how modern robotics can adapt to rapidly changing market demands through smarter, more user-friendly programming approaches.