Search Results - "Bedin Grando, Ricardo"

Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles by Grando, Ricardo Bedin, de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Drews-Jr, Paulo Lilles Jorge

“…This paper presents a novel deep reinforcement learning-based system for 3D mapless navigation for Unmanned Aerial Vehicles (UAVs). Instead of using an…”
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From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation by Steinmetz, Raul, Kich, Victor Augusto, Krever, Henrique, Rigo Mazzarolo, Joao Davi, Bedin Grando, Ricardo, 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…”
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Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques by De Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Grando, Ricardo Bedin, Cukla, Anselmo Rafael, Gamarra, Daniel Fernando Tello

“…In this study, we present two distinct approaches of Deep Reinforcement Learning (Deep-RL) algorithms for a mobile robot. The research methodology primarily…”
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Soft Actor-Critic for Navigation of Mobile Robots by de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Cuadros, Marco Antonio de Souza Leite, Gamarra, Daniel Fernando Tello

“…This paper provides a study of two deep reinforcement learning techniques for application in navigation of mobile robots, one of the techniques is the Soft…”
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Neural Network as an Alternative to the Jacobian for Iterative Solution to Inverse Kinematics by Julian Carini Montenegro, Fabricio, Bedin Grando, Ricardo, Rubert Librelotto, Giovani, da Silva Guerra, Rodrigo

“…The inverse kinematics problem is generally very complex and many traditional solutions are targeted only to robots of certain specific topologies. The…”
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Jubileo: An Immersive Simulation Framework for Social Robot Design by Bottega, Jair Augusto, Kich, Victor Augusto, Jesus, Junior Costa de, Steinmetz, Raul, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Guerra, Rodrigo da Silva, Gamarra, Daniel Fernando Tello

“…This paper introduces Jubileo, an open-source simulated humanoid robot as a framework for the development of human-robot interaction applications. By…”
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Real-time Robotics Situation Awareness for Accident Prevention in Industry by Deniz, Juan M, Kelboucas, Andre S, Grando, Ricardo Bedin

“…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…”
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CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning by 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…”
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Kolmogorov-Arnold Network for Online Reinforcement Learning by 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…”
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Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques by de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Grando, Ricardo Bedin, Cukla, Anselmo Rafael, Gamarra, Daniel Fernando Tello

“…20th IEEE Latin American Robotics Symposium - LARS 2023 and 15th Brazilian Symposium on Robotics- SBR 2023 In this study, we present two distinct approaches…”
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Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots by 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…”
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Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles by Kolling, Alisson Henrique, Kich, Victor Augusto, de Jesus, Junior Costa, da Silva, Andressa Cavalcante, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, Gamarra, Daniel F. T

“…This work presents a study on parallel and distributional deep reinforcement learning applied to the mapless navigation of UAVs. For this, we developed an…”
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Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing by Kich, Victor Augusto, de Jesus, Junior Costa, Grando, Ricardo Bedin, Kolling, Alisson Henrique, Heisler, Gabriel Vinícius, Guerra, Rodrigo da Silva

“…Deep Reinforcement Learning (DRL) has produced great achievements since it was proposed, including the possibility of processing raw vision input data…”
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Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction by Bottega, Jair Augusto, Steinmetz, Raul, Kolling, Alisson Henrique, Kich, Victor Augusto, De Jesus, Junior Costa, Grando, Ricardo Bedin, Gamarra, Daniel Fernando Tello

“…Robotics simulation has been an integral part of research and development in the robotics area. The simulation eliminates the possibility of harm to sensors,…”
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Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles by Grando, Ricardo Bedin, de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Drews-Jr, Paulo Lilles Jorge

“…This paper presents a novel deep reinforcement learning-based system for 3D mapless navigation for Unmanned Aerial Vehicles (UAVs). Instead of using a…”
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Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles by de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Guerra, Rodrigo da Silva, DrewsJr, Paulo Lilles Jorge

“…Reinforcement Learning (RL) has presented an impressive performance in video games through raw pixel imaging and continuous control tasks. However, RL performs…”
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Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots by 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

“…International Conference on Intelligent Systems Design and Applications, 2022 In this work, we present two Deep Reinforcement Learning (Deep-RL) approaches to…”
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Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition by Pinheiro, Pedro Miranda, Neto, Armando Alves, Grando, Ricardo Bedin, da Silva, Cesar Bastos, Aoki, Vivian Misaki, Cardoso, Dayana, Horn, Alexandre Campos, Drews-Jr, Paulo Lilles Jorge

“…In the last decade, a great effort has been employed in the study of Hybrid Unmanned Aerial Underwater Vehicles, robots that can easily fly and dive into the…”
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Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles by Kolling, Alisson Henrique, Kich, Victor Augusto, Jesus, Junior Costa de, Silva, Andressa Cavalcante Da, Grando, Ricardo Bedin, Drews, Paulo Lilles Jorge, Gamarra, Daniel F. T.

“…This work presents a study on parallel and distributional deep reinforcement learning applied to the mapless navigation of UAVs. For this, we developed an…”
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Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition by Grando, Ricardo Bedin, de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Bortoluzzi, Nicolas Pieper, Pinheiro, Pedro Miranda, Neto, Armando Alves, Drews-Jr, Paulo Lilles Jorge

“…Since the application of Deep Q-Learning to the continuous action domain in Atari-like games, Deep Reinforcement Learning (Deep-RL) techniques for motion…”
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