In this paper, we address the problem of cooperative tracking of multiple heterogeneous targets by deploying multiple and heterogeneous pursuers exhibiting different decision …
In this paper, we propose an observer-based visual pursuit control integrating three- dimensional target motion learning by Gaussian Process Regression (GPR). We consider a …
This paper presents a new decentralized algorithm for the deployment and reconfiguration of a multi-agent formation in a convex bounded polygonal area when considering several …
Y Xu, Z Chen, S Wang, J Wang - IFAC-PapersOnLine, 2023 - Elsevier
This paper proposes a principle of fully autonomous ground mobile landing recovery of Unmanned Aerial Vehicles (UAV) for the problems of relatively fixed landing point, passive …
In this article, we address the problem of minimizing an expected value with stochastic constraints, known in the literature as stochastic programming. Our approach is based on …
This paper considers a pursuit control based on cooperative target motion estimation by robotic networks equipped with visual sensors. First, we propose a cooperative pursuit …
In this paper, the idea of using teams of Unmanned Aerial Vehicles (UAVs) to track a ground vehicle and exploiting the benefits of multiple UAVs is considered. The design and testing of …
D Fan, DA Copp - arXiv preprint arXiv:2411.10941, 2024 - arxiv.org
Online trajectory optimization and optimal control methods are crucial for enabling sustainable unmanned aerial vehicle (UAV) services, such as agriculture, environmental …