Merijn Floren
Papers
1
Total Citations
2
H-Index
1
About
Merijn Floren is a researcher specializing in the modeling and control of deformable objects, with a particular focus on deformable linear objects (DLOs) like cables, ropes, and hoses. His key contributions lie at the intersection of system identification, model predictive control, and robotics, where he develops data-driven methods to capture the complex, high-dimensional dynamics of flexible structures. In his most-cited work, "Identification of Deformable Linear Object Dynamics from Input-output Measurements in 3D Space" (2024), Floren introduces a novel approach to obtaining accurate state-space models of DLOs using only input-output measurements, bypassing the need for complex physical simulations. This method is specifically tailored for model predictive control, enabling precise manipulation of deformable objects in real-world robotic applications. While still early in his career, Floren’s work has already garnered attention for its practical relevance in automation, manufacturing, and surgical robotics, where controlling flexible materials is a critical challenge. His research promises to advance the capabilities of robots in handling everyday deformable objects, bridging the gap between theoretical control and real-world deployment.
Research Focus
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Top Papers
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