activity
20222024
most citedDouble Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2024

Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots

Victor Augusto Kich, Alisson Henrique Kolling, Junior Costa de Jesus +8

This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our appro…

cs.LG2024

CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning

Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz +3

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…

cs.LG2024

Kolmogorov-Arnold Network for Online Reinforcement Learning

Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz +3

Kolmogorov-Arnold Networks (KANs) have shown potential as an alternative to Multi-Layer Perceptrons (MLPs) in neural networks, providing universal function approximation with fewer…

cs.RO2024

Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations

Victor A. Kich, Jair A. Bottega, Raul Steinmetz +3

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…

cs.RO2023

Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques

Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling +4

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. T…

cs.RO2023★ 2 cited

Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots

Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling +6

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…

cs.RO2022

Jubileo: An Open-Source Robot and Framework for Research in Human-Robot Social Interaction

Jair A. Bottega, Victor A. Kich, Alisson H. Kolling +4

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 thro…

cs.RO2022

Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction

Jair A. Bottega, Raul Steinmetz, Alisson H. Kolling +4

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 physic…