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20212026
most citedDouble Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots

2 citations · 4 across the 22 of their papers we have counts for

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8 papers · 1 filter

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

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization

Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich +3

Previous works showed that Deep-RL can be applied to perform mapless navigation, including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs). This paper…

cs.RO2022

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots

Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich +3

Deterministic and Stochastic techniques in Deep Reinforcement Learning (Deep-RL) have become a promising solution to improve motion control and the decision-making tasks for a wide…

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…

cs.RO2022

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles

Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling +3

Reinforcement Learning (RL) has presented an impressive performance in video games through raw pixel imaging and continuous control tasks. However, RL performs poorly with high-dim…

physics.app-ph2022

Practical Analysis of Permeable Concrete Properties with Polypropylene Fiber Addition

Rebeca de M. Kich, Victor A. Kich, Kelvin I. Seibt

One of the recent approaches used to minimize the impacts of the growth of impermeable areas in urban centers is permeable flooring. Permeable floors can be made of concrete and ar…

cs.NI2022

Bibliographic Analysis of the Capacity and Applicability of Li-Fi Networks

Kelvin I. Seibt, Victor A. Kich, Gabriel V. Heisler

This article aims to bring a metric of capacities and applicability of Light Fidelity (Li-Fi) as a communication system through a direct comparison to subareas of Wireless Fidelity…

cs.CV2022

Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing

Victor Augusto Kich, Junior Costa de Jesus, Ricardo Bedin Grando +3

Deep Reinforcement Learning (DRL) has produced great achievements since it was proposed, including the possibility of processing raw vision input data. However, training an agent t…