Marian Hoffmann
Papers
1
Total Citations
2
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About
Marian Hoffmann is a robotics researcher whose work bridges human motion analysis and autonomous control. Her primary research focuses on human-robot interaction, motion planning, and predictive control systems. Hoffmann’s most notable contribution is her 2018 paper, “Human Center of Mass Trajectory Models Using Nonlinear Model Predictive Control,” which introduces an NMPC framework to model human Center of Mass (CoM) trajectories in obstacle-rich environments. This work has dual significance: it enables robots to plan their own motion in a human-like manner, while also allowing them to predict human movement for safer, more intuitive interaction. Although early in her career, with 2 citations to date, this foundational paper demonstrates Hoffmann’s innovative approach to integrating biomechanics with control theory. Her work holds promise for advancing collaborative robotics, particularly in shared spaces where robots must anticipate and adapt to human behavior. Hoffmann’s research represents a meaningful step toward more natural and efficient human-robot coexistence.
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Top Papers
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