The growing interest in robust designs and data-driven technologies for safe control
problems underscores the critical need to understand uncertainty for ensuring reliable safety …

This paper introduces an algorithm for estimating the invariant set of closed-loop controlled
dynamical systems identified using single-hidden layer Rectified linear units (ReLU) neural …

Safe control with guarantees generally requires the system model to be known. It is far more
challenging to handle systems with uncertain parameters. In this paper, we propose a …

Safety-critical control is significant for autonomous system applications where safety is an
utmost concern. Control-barrier-function (CBF)-based control has shown its promising …

In this article, we present a constraint-driven control algorithm that minimizes the energy
consumption of individual agents and yields an emergent V formation. As the formation …

We introduce a novel method for safe mobile robot navigation in dynamic, unknown
environments, utilizing onboard sensing to impose safety constraints without the need for …

Safe operation of multi-robot systems is critical, especially in communication-degraded
environments such as underwater for seabed mapping, underground caves for navigation …

This work uses density functions for safe navigation in dynamic environments. The dynamic
environment consists of time-varying obstacles as well as time-varying target sets. We …

This paper proposes a safety-critical controller for dynamic and uncertain environments,
leveraging a robust environment control barrier function (ECBF) to enhance the robustness …

This paper addresses the challenge of safe navigation for rigid-body mobile robots in
dynamic environments. We introduce an analytic approach to compute the distance between …