Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Papaioannou Savvas"'
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
Publikováno v:
2023 31st Mediterranean Conference on Control and Automation (MED)
Cooperative control of multi-UAV systems has attracted substantial research attention due to its significance in various application sectors such as emergency response, search and rescue missions, and critical infrastructure inspection. This paper pr
Externí odkaz:
http://arxiv.org/abs/2409.13302
Current research on robust trajectory planning for autonomous agents aims to mitigate uncertainties arising from disturbances and modeling errors while ensuring guaranteed safety. Existing methods primarily utilize stochastic optimal control techniqu
Externí odkaz:
http://arxiv.org/abs/2409.12718
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
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
This work proposes a distributed estimation and control approach in which a team of aerial agents equipped with radio jamming devices collaborate in order to intercept and concurrently track-and-jam a malicious target, while at the same time minimizi
Externí odkaz:
http://arxiv.org/abs/2305.13919