Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …

In the first part, this article presents an overview of Guidance, Navigation and Control (GNC)
methodologies developed for space manipulators to perform in-orbit robotic missions …

Accurate wheel slip estimation facilitates Wheeled Mobile Robots (WMRs) with improved
localization and traversability monitoring which are crucial to their autonomy in challenging …

Loosely coupled multi-agent estimation algorithms such as covariance intersection (CI) for
track-to-track fusion, and discorrelated minimum variance (DMV) and practical estimated …

Abstract Purpose of Review: The article provides an extensive overview on the resilient
autonomy advances made across various missions, orbital or deep-space, that captures the …

Over the past two and a half decades, covariance intersection (CI) has provided a means for
robust estimation in scenarios where the uncertainty information is incomplete. Estimation in …

For mass application positioning demands, the current single positioning sensor cannot
provide reliable and accurate positioning. Herein, we present batch inverse covariance …

Using sensors to observe real-world systems is important in many applications. A typical use
case is target tracking, where sensor measurements are used to compute estimates of …

Optimal fusion of estimates that are computed in a distributed fashion is a challenging task.
In general, the sensor nodes cannot keep track of the cross-correlations required to fuse …

This work describes an efficient technique to sequentially combine estimates resulting from
individual sets of measurements provided by a network of satellites. The prescribed method …