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About

Dan Kielsholm Thomsen is a leading researcher in the field of industrial robotics, specializing in vibration control and trajectory optimization for lightweight robot manipulators. His primary research areas include input shaping technology, time-varying dynamics, and the suppression of residual vibrations in robotic systems. Thomsen’s most significant contribution is the development of Fractional Delay Time-Varying Input Shaping Technology (FD-TVIST), a novel method that effectively reduces unwanted mechanical vibrations in industrial robot arms during point-to-point motion. His work addresses the critical challenge of configuration-dependent vibrational behavior, enabling smoother and more precise robot operations. His most cited paper, “Vibration control of industrial robot arms by multi-mode time-varying input shaping” (2020), has garnered 83 citations, underscoring its impact on the field. Thomsen has also pioneered the 3-Segmented Input Shaping method for generating vibration-free rest-to-rest trajectories, applicable to robots, cranes, and machine tools. His experimental implementations on UR robots demonstrate the practical viability of his theories. With a focus on bridging theoretical modeling and real-world testing, Thomsen’s research is essential for advancing the performance and reliability of modern industrial automation systems.