Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter
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DOI: 10.1109/lra.2022.3187832
Abstract: This study develops a multi-hypothesis extended Kalman filter (MH-EKF) for the online estimation of the bending angle of a 3D printed soft sensor attached to soft actuators. Despite the advantage of compliance and low interference,… read more here.
Keywords: printed soft; multi hypothesis; filter; soft sensor ... See more keywords