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 …

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 …

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

This work, based on the standard unscented Kalman filter (UKF), proposes a modified UKF
for highly non‐linear stochastic systems, assuming that the associated probability …

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 …

This letter presents explicit sub-optimal track-to-track fusion algorithms for Multi-Sensor
Systems (MSS) estimating nonlinear processes. The individual tracks in an MSS are …

We propose a sequential Monte Carlo-based cardinalized probability hypothesis density
(SMC-CPHD) filter with adaptive survival probability for multiple frequency tracking to …

In this paper, a frequency tracking method based on a cardinalized probability hypothesis
density (CPHD) filter with cardinality compensation and fuzzy‐c means (FCM) clustering is …

This thesis presents an innovative decentralised sensor fusion framework with significant
potential to improve navigation accuracy in autonomous vehicles. Its applicability is …

In this paper, a multiple frequency tracking method based on a cardinalised probability
hypothesis density (CPHD) filter with cardinality compensation and fuzzy-c mean (FCM) …