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pro vyhledávání: '"Boiko, Igor"'
Reinforcement Learning (RL) is an emerging approach to control many dynamical systems for which classical control approaches are not applicable or insufficient. However, the resultant policies may not generalize to variations in the parameters that t
Externí odkaz:
http://arxiv.org/abs/2311.05655
Reinforcement learning is an emerging approach to control dynamical systems for which classical approaches are difficult to apply. However, trained agents may not generalize against the variations of system parameters. This paper presents the concept
Externí odkaz:
http://arxiv.org/abs/2311.05013
In this paper, we present a real-time system identification method based on relay feedback testing with applications to multirotor unmanned aerial vehicles. The proposed identification method provides an alternative to the expensive lab testing of ce
Externí odkaz:
http://arxiv.org/abs/2303.14573
This paper analyzes the simulation to reality gap in reinforcement learning (RL) cyber-physical systems with fractional delays (i.e. delays that are non-integer multiple of the sampling period). The consideration of fractional delay has important imp
Externí odkaz:
http://arxiv.org/abs/2209.15216
In this paper, we analyze the effect of time delay dynamics on controller design for Unmanned Aerial Vehicles (UAVs) with vision based navigation. Time delay is an inevitable phenomenon in cyber-physical systems, and has important implications on con
Externí odkaz:
http://arxiv.org/abs/2209.01933
Autor:
Peringal, Anees, Chehadeh, Mohamad, Azzam, Rana, Hamandi, Mahmoud, Boiko, Igor, Zweiri, Yahya
The field of Unmanned Aerial Vehicles (UAVs) has reached a high level of maturity in the last few years. Hence, bringing such platforms from closed labs, to day-to-day interactions with humans is important for commercialization of UAVs. One particula
Externí odkaz:
http://arxiv.org/abs/2207.05403
Publikováno v:
In Journal of the Franklin Institute November 2024 361(17)
Autor:
Ayyad, Abdulla, Chehadeh, Mohamad, Silva, Pedro, Wahbah, Mohamad, Hay, Oussama Abdul, Boiko, Igor, Zweiri, Yahya
Low cost real-time identification of multirotor unmanned aerial vehicle (UAV) dynamics is an active area of research supported by the surge in demand and emerging application domains. Such real-time identification capabilities shorten development tim
Externí odkaz:
http://arxiv.org/abs/2010.02645
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