Zobrazeno 1 - 10
of 26 650
pro vyhledávání: '"Panayiotou, A"'
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
Autor:
Panayiotou, Panayiotis, Şimşek, Özgür
Robust policies enable reinforcement learning agents to effectively adapt to and operate in unpredictable, dynamic, and ever-changing real-world environments. Factored representations, which break down complex state and action spaces into distinct co
Externí odkaz:
http://arxiv.org/abs/2409.09169
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:
Selvaraj, Dinesh Cyril, Vitale, Christian, Panayiotou, Tania, Kolios, Panayiotis, Chiasserini, Carla Fabiana, Ellinas, Georgios
In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep reinforcement learning (C-DRL). AA aims to safely emulate human driving to
Externí odkaz:
http://arxiv.org/abs/2407.02546
Autor:
Selvaraj, Dinesh Cyril, Vitale, Christian, Panayiotou, Tania, Kolios, Panayiotis, Chiasserini, Carla Fabiana, Ellinas, Georgios
Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In this work, we present a novel framework that detects preemptively col
Externí odkaz:
http://arxiv.org/abs/2404.14523
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
A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, while ensuring the necessary quality-of-service (QoS) levels. An encoder
Externí odkaz:
http://arxiv.org/abs/2404.08314