Zobrazeno 1 - 10
of 9 855
pro vyhledávání: '"Grando"'
Autor:
Moraes, Pablo, Peters, Christopher, Sodre, Hiago, Moraes, William, Barcelona, Sebastian, Deniz, Juan, Castelli, Victor, Guterres, Bruna, Grando, Ricardo
This article presents the implementation and evaluation of a behavior cloning approach for route following with autonomous cars. Behavior cloning is a machine-learning technique in which a neural network is trained to mimic the driving behavior of a
Externí odkaz:
http://arxiv.org/abs/2410.07209
This study explores human-robot interaction (HRI) based on a mobile robot and YOLO to increase real-time situation awareness and prevent accidents in the workplace. Using object segmentation, we propose an approach that is capable of analyzing these
Externí odkaz:
http://arxiv.org/abs/2409.15305
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:
Sodre, Hiago, Barcelona, Sebastian, Scirgalea, Anthony, Macedo, Brandon, Sampson, Gabriel, Moraes, Pablo, Moraes, William, Saravia, Victoria, Deniz, Juan, Guterres, Bruna, Kelbouscas, Andre, Grando, Ricardo
This document addresses the description of the corresponding "Urubots" Team for the 2024 Fira Air League, "Air Emergency Service (Indoor)." We introduce our team and an autonomous Unmanned Aerial Vehicle (UAV) that relies on computer vision for its f
Externí odkaz:
http://arxiv.org/abs/2406.08753
Autor:
Moraes, Pablo, Peters, Christopher, Da Rosa, Any, Melgar, Vinicio, Nuñez, Franco, Retamar, Maximo, Moraes, William, Saravia, Victoria, Sodre, Hiago, Barcelona, Sebastian, Scirgalea, Anthony, Deniz, Juan, Guterres, Bruna, Kelbouscas, André, Grando, Ricardo
This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. The project involves creating an RC-car sized electric vehicle capable of navigating race tracks with in an autonom
Externí odkaz:
http://arxiv.org/abs/2406.08745
Autor:
Moraes, William, Deniz, Juan, Moraes, Pablo, Peters, Christopher, Sandin, Vincent, da Silva, Gabriel, Nunez, Franco, Retamar, Maximo, Saravia, Victoria, Sodre, Hiago, Barcelona, Sebastian, Scirgalea, Anthony, Guterres, Bruna, Kelbouscas, Andre, Grando, Ricardo
This paper proposes a mini autonomous car to be used by the team UruBots for the 2024 FIRA Autonomous Cars Race Challenge. The vehicle is proposed focusing on a low cost and light weight setup. Powered by a Raspberry PI4 and with a total weight of 1.
Externí odkaz:
http://arxiv.org/abs/2406.08741
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:
Steinmetz, Raul, Kich, Victor A., Krever, Henrique, Mazzarolo, Joao D. Rigo, Grando, Ricardo B., Marini, Vinicius, Trois, Celio, Nieuwenhuizen, Ard
Deep learning, particularly Convolutional Neural Networks (CNNs), has gained significant attention for its effectiveness in computer vision, especially in agricultural tasks. Recent advancements in instance segmentation have improved image classifica
Externí odkaz:
http://arxiv.org/abs/2406.00313