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About

Thomas B. Moeslund is a prolific researcher whose work sits at the intersection of robotics, computer vision, and human-robot interaction (HRI). His research addresses some of the most pressing challenges in deploying intelligent robotic systems in real-world industrial and social environments, spanning autonomous navigation, emotion recognition, and infrastructure inspection. Moeslund's most influential contribution, "Projecting Robot Intentions into Human Environments" (2016, 125 citations), tackles the fundamental challenge of making robots legible to human collaborators — a problem with profound safety implications in shared workspaces. This work helped establish him as a leading voice in intuitive HRI design. His applied research extends into demanding industrial domains, including ship construction robotics and semi-autonomous welding systems, demonstrating a commitment to bridging academic innovation with practical deployment. Beyond manufacturing, Moeslund has made notable contributions to infrastructure automation, developing deep learning approaches for sewer inspection and water level estimation that promise to reduce costly manual processes. His work on assistive robotic manipulators and emotion recognition through body language further reflects his broader goal of making robots genuinely responsive to human needs. With over 370 cumulative citations across his top works and contributions spanning proceedings, reviews, and original research, Moeslund represents a versatile and impactful force in applied robotics and intelligent systems research.