Zobrazeno 1 - 10
of 9 902
pro vyhledávání: '"Grando"'
Autor:
Da Silva, Angel, Fernández, Santiago, Vidal, Braian, Sodre, Hiago, Moraes, Pablo, Peters, Christopher, Barcelona, Sebastian, Sandin, Vincent, Moraes, William, Mazondo, Ahilen, Macedo, Brandon, Assunção, Nathalie, de Vargas, Bruna, Kelbouscas, André, Grando, Ricardo
This research focused on utilizing ROS2 and Gazebo for simulating the TurtleBot3 robot, with the aim of exploring autonomous navigation capabilities. While the study did not achieve full autonomous navigation, it successfully established the connecti
Externí odkaz:
http://arxiv.org/abs/2410.19972
Autor:
Flores, Gabriela, Mazondo, Ahilen, Moraes, Pablo, Sodre, Hiago, Peters, Christopher, Saravia, Victoria, Da Silva, Angel, Fernández, Santiago, de Vargas, Bruna, Kelbouscas, André, Grando, Ricardo, Assunção, Nathalie
This research examines the impact of robotics groups in higher education, focusing on how these activities influence the development of transversal skills and academic motivation. While robotics goes beyond just technical knowledge, participation in
Externí odkaz:
http://arxiv.org/abs/2411.05011
Autor:
Hiago, Sodre, Sebastian, Barcelona, Vincent, Sandin, Pablo, Moraes, Christopher, Peters, Angél, da Silva, Gabriela, Flores, Ahilen, Mazondo, Santiago, Fernández, Nathalie, Assunção, Bruna, de Vargas, Ricardo, Grando, André, Kelbouscas
This article presents initial configuration work and use of the robotic platform and manipulator in question. The development of the ideal configuration for using this robot serves as a guide for new users and also validates its functionality for use
Externí odkaz:
http://arxiv.org/abs/2410.17453
Autor:
Pablo, Moraes, Mónica, Rodríguez, Christopher, Peters, Hiago, Sodre, Ahilen, Mazondo, Vincent, Sandin, Sebastian, Barcelona, William, Moraes, Santiago, Fernández, Nathalie, Assunção, Bruna, de Vargas, Tobias, Dörnbach, André, Kelbouscas, Ricardo, Grando
This study investigates the interaction between humanoid robots NAO and Pepper, emphasizing their potential applications in educational settings. NAO, widely used in education, and Pepper, designed for social interactions, of er new opportunities for
Externí odkaz:
http://arxiv.org/abs/2410.17450
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