Robert Henriksson

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About

Robert Henriksson is a researcher specializing in robotics, control systems, and sensor fusion, with a particular focus on industrial robot precision and flexible joint dynamics. His major contributions lie in the development and experimental validation of advanced estimation and control techniques for robotic manipulators. Notably, his 2009 work on "Experimental comparison of observers for tool position estimation of industrial robots" (28 citations) systematically evaluated extended Kalman filters and deterministic observers, providing critical insights for improving tool position accuracy using motor angular position and tool acceleration measurements. This work has been foundational for researchers seeking robust state estimation in industrial settings. Henriksson also made significant strides in iterative learning control (ILC), as demonstrated in his 2009 study on a flexible two-link robot model (19 citations), where he integrated sensor-fusion-based estimates from an extended Kalman filter to enhance control performance despite joint flexibility. By combining theoretical rigor with practical experimentation, Henriksson’s research has advanced the reliability and precision of robotic systems, offering valuable methodologies for both academic researchers and industry practitioners working on automation and robot control.