Search Results - "Steinmetz, Raul"

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  1. 1

    Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations by 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…”
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    Conference Proceeding
  2. 2

    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

    Published in Journal of intelligent & robotic systems (01-12-2023)
    “…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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    Journal Article
  3. 3

    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

    Published 11-08-2024
    “…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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    Journal Article
  4. 4

    Kolmogorov-Arnold Network for Online Reinforcement Learning by Kich, Victor Augusto, Bottega, Jair Augusto, Steinmetz, Raul, Grando, Ricardo Bedin, Yorozu, Ayano, Ohya, Akihisa

    Published 08-08-2024
    “…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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    Journal Article
  5. 5

    Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations by Kich, Victor A, Bottega, Jair A, Steinmetz, Raul, Grando, Ricardo B, Yorozu, Ayanori, Ohya, Akihisa

    Published 27-05-2024
    “…This paper introduces YamaS, a simulator integrating Unity3D Engine with Robotic Operating System for robot navigation research and aims to facilitate the…”
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    Journal Article
  6. 6

    From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation by Steinmetz, Raul, Kich, Victor A, Krever, Henrique, Mazzarolo, Joao D. Rigo, Grando, Ricardo B, Marini, Vinicius, Trois, Celio, Nieuwenhuizen, Ard

    Published 01-06-2024
    “…Deep learning, particularly Convolutional Neural Networks (CNNs), has gained significant attention for its effectiveness in computer vision, especially in…”
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    Journal Article
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  9. 9

    Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning by 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

    Published 04-06-2024
    “…Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhancing motion control and decision-making through a wide range of robotic…”
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    Journal Article
  10. 10
  11. 11

    Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction by Bottega, Jair A, Steinmetz, Raul, Kolling, Alisson H, Kich, Victor A, de Jesus, Junior C, Grando, Ricardo B, Gamarra, Daniel F. T

    Published 13-08-2022
    “…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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    Journal Article
  12. 12

    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

    Published 26-01-2023
    “…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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    Journal Article