Compared with a mobile robot follows behind the target person, side-by-side following is a
more common, relaxed, and friendly human-robot interaction (HRI). However, when the …

State estimation of dynamical systems is crucial for providing new decision-making and
system automation information in different applications. However, the assumptions on the …

Considering a common case where measurements are obtained from independent sensors,
we present a novel outlier-robust filter for nonlinear dynamical systems in this work. The …

Sound source visualization has been widely used in many scenarios such as aerospace,
industrial production, and urban management. Sound source localization technology plays …

In this letter, we propose a version of the unscented Rauch–Tung–Striebel (RTS) smoother
robust to outliers in the observations. We consider a common case where data are collected …

Cellular signals have become a promising candidate for localization due to advantages
such as broad coverage and high signal quality, especially in dense urban environments …

In this article, we consider the Kalman filtering problem in the presence of non-Gaussian
measurement noise contaminated by time-correlated outliers. A novel robust filtering …

This paper introduces a novel robust Kalman filter designed to leverage symmetrical
properties within the Pearson Type VII-Inverse Wishart (PVIW) distribution, enhancing state …

In this article, we consider the problem of outlier-robust state estimation where the
measurement noise can be correlated. Outliers in data arise due to many reasons like …

In many practical fields, the unknown time-varying measurement biases (additive and
multiplicative bias) and heavy-tailed measurement noise caused by some unpredictable …