Zobrazeno 1 - 10
of 4 476
pro vyhledávání: '"Kolios, 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:
Rezvani, Hadi, Zarrabi, Navid, Mehta, Ishaan, Kolios, Christopher, Jaafar, Hussein Ali, Kao, Cheng-Hao, Saeedi, Sajad, Yousefi, Nariman
Plastic pollution presents an escalating global issue, impacting health and environmental systems, with micro- and nanoplastics found across mediums from potable water to air. Traditional methods for studying these contaminants are labor-intensive an
Externí odkaz:
http://arxiv.org/abs/2409.13688
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:
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
We present DPPE, a dense pose estimation algorithm that functions over a Plenoxels environment. Recent advances in neural radiance field techniques have shown that it is a powerful tool for environment representation. More recent neural rendering alg
Externí odkaz:
http://arxiv.org/abs/2403.10773