Zobrazeno 1 - 10
of 395
pro vyhledávání: '"P. JUNIOR, C."'
Autor:
Grando, Ricardo B., Steinmetz, Raul, Kich, Victor A., Kolling, Alisson H., Furik, Pablo M., de Jesus, Junior C., Guterres, Bruna V., Gamarra, Daniel T., Guerra, Rodrigo S., Drews-Jr, Paulo L. J.
Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhancing motion control and decision-making through a wide range of robotic applications. While prior research has demonstrated the efficacy of DRL algorithms in facilitating a
Externí odkaz:
http://arxiv.org/abs/2406.01952
Autor:
Grando, Ricardo B., de Jesus, Junior C., Kich, Victor A., Kolling, Alisson H., Guerra, Rodrigo S., Drews-Jr, Paulo L. J.
Deep Reinforcement Learning (Deep-RL) techniques for motion control have been continuously used to deal with decision-making problems for a wide variety of robots. Previous works showed that Deep-RL can be applied to perform mapless navigation, inclu
Externí odkaz:
http://arxiv.org/abs/2308.09811
Publikováno v:
D. F. Abreu and C. Junqueira-Junior and E. T. V. Dauricio and J. L. F. Azevedo, "LARGE-EDDY SIMULATIONS OF TURBULENT COMPRESSIBLE SUPERSONIC JET FLOWS USING DISCONTINUOUS GALERKIN METHODS", Proceeding of ECCOMAS 2022, Oslo, 2022
In this work, a discontinuous Galerkin scheme is employed to perform LES simulations of supersonic jet flows. A total of four simulations are performed with different meshes and order of accuracy. The number of degrees of freedom from the simulations
Externí odkaz:
http://arxiv.org/abs/2301.01773
Publikováno v:
D. F. Abreu and Carlos Junqueira-Junior and E. T. Dauricio and J. L. F. Azevedo. "Study on the Resolution of Large-Eddy Simulations for Supersonic Jet Flows," AIAA 2022-3327. AIAA AVIATION 2022 Forum. June 2022
The present study is concerned with large-eddy simulations (LES) of supersonic jet flows. The work addresses, in particular, the simulation of a perfectly expanded free jet flow with an exit Mach number of 1.4 and an exit temperature equal to the amb
Externí odkaz:
http://arxiv.org/abs/2301.01582
Autor:
Grando, Ricardo B., de Jesus, Junior C., Kich, Victor A., Kolling, Alisson H., Guerra, Rodrigo S., Drews-Jr, Paulo L. J.
Previous works showed that Deep-RL can be applied to perform mapless navigation, including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs). This paper presents new approaches based on the state-of-the-art actor-critic alg
Externí odkaz:
http://arxiv.org/abs/2209.06332
Autor:
Grando, Ricardo B., de Jesus, Junior C., Kich, Victor A., Kolling, Alisson H., Guerra, Rodrigo S., Drews-Jr, Paulo L. J.
Deterministic and Stochastic techniques in Deep Reinforcement Learning (Deep-RL) have become a promising solution to improve motion control and the decision-making tasks for a wide variety of robots. Previous works showed that these Deep-RL algorithm
Externí odkaz:
http://arxiv.org/abs/2209.06328
Autor:
Bottega, Jair A., Steinmetz, Raul, Kolling, Alisson H., Kich, Victor A., de Jesus, Junior C., Grando, Ricardo B., Gamarra, Daniel F. T.
Robotics simulation has been an integral part of research and development in the robotics area. The simulation eliminates the possibility of harm to sensors, motors, and the physical structure of a real robot by enabling robotics application testing
Externí odkaz:
http://arxiv.org/abs/2208.06711
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