Zobrazeno 1 - 10
of 626
pro vyhledávání: '"Panayiotou, A. G."'
Over the past few years, a plethora of advancements in Unmanned Areal Vehicle (UAV) technology has paved the way for UAV-based search and rescue operations with transformative impact to the outcome of critical life-saving missions. This paper dives i
Externí odkaz:
http://arxiv.org/abs/2409.13305
Modern industrial systems require frequent updates to their cyber and physical infrastructures, which often demand considerable reconfiguration effort. This paper introduces a framework to automate this process, implemented as the industrial Cyber-Ph
Externí odkaz:
http://arxiv.org/abs/2408.17133
Autor:
Anastasiou, Andreas, Zacharia, Angelos, Papaioannou, Savvas, Kolios, Panayiotis, Panayiotou, Christos G., Polycarpou, Marios M.
This work introduces a cooperative inspection system designed to efficiently control and coordinate a team of distributed heterogeneous UAV agents for the inspection of 3D structures in cluttered, unknown spaces. Our proposed approach employs a two-s
Externí odkaz:
http://arxiv.org/abs/2404.12018
Autor:
Papaioannou, Savvas, Vitale, Christian, Kolios, Panayiotis, Panayiotou, Christos G., Polycarpou, Marios M.
Fault-tolerant coverage control involves determining a trajectory that enables an autonomous agent to cover specific points of interest, even in the presence of actuation and/or sensing faults. In this work, the agent encounters control inputs that a
Externí odkaz:
http://arxiv.org/abs/2404.09838
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices. Although recent advancements have improved traditional artificial intelligence (AI) approaches,
Externí odkaz:
http://arxiv.org/abs/2404.09877
Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, concept drift which refers to a change in the underlying data distribution
Externí odkaz:
http://arxiv.org/abs/2404.02572
In the contemporary digital landscape, the continuous generation of extensive streaming data across diverse domains has become pervasive. Yet, a significant portion of this data remains unlabeled, posing a challenge in identifying infrequent events s
Externí odkaz:
http://arxiv.org/abs/2403.03576
Autor:
Papaioannou, Savvas, Kolios, Panayiotis, Theocharides, Theocharis, Panayiotou, Christos G., Polycarpou, Marios M.
Publikováno v:
2023 62nd IEEE Conference on Decision and Control (CDC)
This work proposes a receding horizon coverage control approach which allows multiple autonomous aerial agents to work cooperatively in order cover the total surface area of a 3D object of interest. The cooperative coverage problem which is posed in
Externí odkaz:
http://arxiv.org/abs/2401.15674
Autor:
Papaioannou, Savvas, Laoudias, Christos, Kolios, Panayiotis, Theocharides, Theocharis, Panayiotou, Christos G.
Publikováno v:
31st Mediterranean Conference on Control and Automation (MED), 2023
This work considers the problem of passively monitoring multiple moving targets with a single unmanned aerial vehicle (UAV) agent equipped with a direction-finding radar. This is in general a challenging problem due to the unobservability of the targ
Externí odkaz:
http://arxiv.org/abs/2307.06633
Autor:
Papaioannou, Savvas, Kolios, Panayiotis, Theocharides, Theocharis, Panayiotou, Christos G., Polycarpou, Marios M.
We propose a novel probabilistically robust controller for the guidance of an unmanned aerial vehicle (UAV) in coverage planning missions, which can simultaneously optimize both the UAV's motion, and camera control inputs for the 3D coverage of a giv
Externí odkaz:
http://arxiv.org/abs/2306.17588