The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …

Blockchain is an underlying technology for securing many real-time applications and their
data. The automobile is one such sector in which auto-manufacturers are looking forward to …

Active learning strategies for 3D object detection in autonomous driving datasets may help
to address challenges of data imbalance, redundancy, and high-dimensional data. We …

The curation of large-scale datasets is still costly and requires much time and resources.
Data is often manually labeled, and the challenge of creating high-quality datasets remains …

Biologically inspired algorithms for simultaneous localization and mapping (SLAM) such as
RatSLAM have been shown to yield effective and robust robot navigation in both indoor and …

This paper presents the formation tracking problem for non-holonomic automated guided
vehicles. Specifically, we focus on a decentralized leader–follower approach using linear …

An anomaly detection system using a polarized-image fusion technique has been
developed for food inspection applications. It is capable of detecting (a) foreign objects …

Execution monitoring is essential for robots to detect and respond to failures. Since it is
impossible to enumerate all failures for a given task, we learn from successful executions of …

This article investigates two-player attack-defense (AD) games involving players with
bounded rationality, where the defender aims to intercept the attacker, while the attacker …

This article proposes the Bayesian surprise as the main methodology that drives the
cognitive radar to estimate a target's future state (ie, velocity, distance) from noisy …