Marco van der Jagt

Papers

Total Citations

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About

Marco van der Jagt is a researcher whose work sits at the intersection of human skill analysis and robotic assistance, with a primary focus on welding technologies. His most cited paper, "Identifying Welding Skills for Robot Assistance" (2008, 10 citations), represents a foundational contribution to understanding how human expertise can inform robotic systems. In this work, van der Jagt employed 3D motion capture technology to analyze the subtle differences between skilled and unskilled welders, tracking markers on both the welder's arm and the welding torch to precisely map torch tip trajectories. This approach allowed him to quantify the tacit knowledge that expert welders possess, providing a data-driven framework for programming collaborative robots to assist or replicate human welding performance. While his citation count is modest, the significance of his work lies in its pioneering methodology—bridging biomechanical analysis with industrial robotics. Van der Jagt's research offers valuable insights for human-robot collaboration in manufacturing, demonstrating how motion capture can translate embodied expertise into machine-readable instructions, a concept that continues to influence the development of assistive robotic systems in skilled trades.