Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Bottega, Jair A."'
Autor:
Kich, Victor Augusto, Bottega, Jair Augusto, Steinmetz, Raul, Grando, Ricardo Bedin, Yorozu, Ayano, Ohya, Akihisa
In this work, we present Curled-Dreamer, a novel reinforcement learning algorithm that integrates contrastive learning into the DreamerV3 framework to enhance performance in visual reinforcement learning tasks. By incorporating the contrastive loss f
Externí odkaz:
http://arxiv.org/abs/2408.05781
Autor:
Kich, Victor Augusto, Kolling, Alisson Henrique, de Jesus, Junior Costa, Heisler, Gabriel V., Jacobs, Hiago, Bottega, Jair Augusto, Kelbouscas, André L. da S., Ohya, Akihisa, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, Gamarra, Daniel Fernando Tello
This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our approaches use laser range findings, relative distance, and angle to the ta
Externí odkaz:
http://arxiv.org/abs/2408.05744
Autor:
Kich, Victor Augusto, Bottega, Jair Augusto, Steinmetz, Raul, Grando, Ricardo Bedin, Yorozu, Ayano, Ohya, Akihisa
Kolmogorov-Arnold Networks (KANs) have shown potential as an alternative to Multi-Layer Perceptrons (MLPs) in neural networks, providing universal function approximation with fewer parameters and reduced memory usage. In this paper, we explore the us
Externí odkaz:
http://arxiv.org/abs/2408.04841
Autor:
Kich, Victor A., Bottega, Jair A., Steinmetz, Raul, Grando, Ricardo B., Yorozu, Ayanori, Ohya, Akihisa
This paper introduces YamaS, a simulator integrating Unity3D Engine with Robotic Operating System for robot navigation research and aims to facilitate the development of both Deep Reinforcement Learning (Deep-RL) and Natural Language Processing (NLP)
Externí odkaz:
http://arxiv.org/abs/2405.16818
Autor:
de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Grando, Ricardo Bedin, Cukla, Anselmo Rafael, Gamarra, Daniel Fernando Tello
Publikováno v:
20th IEEE Latin American Robotics Symposium - LARS 2023 and 15th Brazilian Symposium on Robotics- SBR 2023
In this study, we present two distinct approaches within the realm of Deep Reinforcement Learning (Deep-RL) aimed at enhancing mapless navigation for a ground-based mobile robot. The research methodology primarily involves a comparative analysis betw
Externí odkaz:
http://arxiv.org/abs/2310.13809
Autor:
de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Steinmetz, Raul, da Silva, Emerson Cassiano, Grando, Ricardo Bedin, Cuckla, Anselmo Rafael, Gamarra, Daniel Fernando Tello
Publikováno v:
International Conference on Intelligent Systems Design and Applications, 2022
In this work, we present two Deep Reinforcement Learning (Deep-RL) approaches to enhance the problem of mapless navigation for a terrestrial mobile robot. Our methodology focus on comparing a Deep-RL technique based on the Deep Q-Network (DQN) algori
Externí odkaz:
http://arxiv.org/abs/2301.11173
Autor:
Bottega, Jair A., Kich, Victor A., Kolling, Alisson H., Dyonisio, Jardel D. S., Corçaque, Pedro L., Guerra, Rodrigo da S., Gamarra, Daniel F. T.
Human-robot interaction (HRI) is essential to the widespread use of robots in daily life. Robots will eventually be able to carry out a variety of duties in human civilization through effective social interaction. Creating straightforward and underst
Externí odkaz:
http://arxiv.org/abs/2209.13509
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
Akademický článek
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Autor:
de Jesus, Junior Costa1 (AUTHOR), Bottega, Jair Augusto2 (AUTHOR), Cuadros, Marco Antonio de Souza Leite3 (AUTHOR), Gamarra, Daniel Fernando Tello4 (AUTHOR) daniel.gamarra@ufsm.br
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2020, Vol. 40 Issue 1, p349-361. 13p.
