Mads A. Kuhlmann-Jørgensen

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About

Mads A. Kuhlmann-Jørgensen is a robotics researcher focused on automating physically demanding construction tasks through intelligent motion planning and control. His primary research areas include autonomous robotic manipulation, sampling-based planning, and construction automation. Kuhlmann-Jørgensen’s most notable contribution is the development of PLASTR, a receding horizon optimization-based planning algorithm for robotic plaster trowelling—a task traditionally labor-intensive and ergonomically challenging. This work, published in 2023, addresses a critical gap in construction robotics by enabling autonomous surface finishing with real-time adaptability. Though early in his career, his PLASTR paper has already garnered 5 citations, signaling growing interest from both robotics and construction engineering communities. His research stands out for its practical focus: rather than pursuing general-purpose manipulation, Kuhlmann-Jørgensen targets specific, high-impact applications where automation can immediately improve worker safety and productivity. By combining optimization-based planning with sampling-based methods, he bridges theoretical rigor and real-world deployability. As construction faces labor shortages and rising demands for efficiency, Kuhlmann-Jørgensen’s work positions him at the forefront of a critical technological shift—making skilled trades safer, faster, and more consistent through intelligent robotics.