Výsledky vyhledávání - "Armando Alves Neto"

Stability and Formation Error of Homogeneous Vehicular Platoons With Communication Time Delays

Autor: Leonardo Amaral Mozelli, Fernando O. Souza, Leonardo A. B. Tôrres, Armando Alves Neto

Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 21:4338-4349

The problem of decentralized control of vehicular platoon is addressed, subject to non-uniform time-varying delays in the communication links among the vehicles. Our control goal is to drive the vehicles to reach a specified line formation, while mov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8384ff698c744f978799b75084dc1685
https://doi.org/10.1109/tits.2019.2939777

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Control of air-ground convoy subject to communication time delay

Autor: Armando Alves Neto, Leonardo Amaral Mozelli, Fernando O. Souza

Publikováno v: Computers & Electrical Engineering. 76:213-224

The problem associated with line formation (convoy) control among a team of aerial and ground vehicles is addressed by considering the fact that the vehicles share information with each other via communication channels that can be corrupted because o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b590ef97593f540a5bb2b64247baaa6
https://doi.org/10.1016/j.compeleceng.2019.03.016

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Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition

Autor: Alisson Henrique Kolling, Armando Alves Neto, Paulo Drews, Junior C. de Jesus, Victor Augusto Kich, Nicolas P. Bortoluzzi, Pedro M. Pinheiro, Ricardo B. Grando

Publikováno v: ICRA

Since the application of Deep Q-Learning to the continuous action domain in Atari-like games, Deep Reinforcement Learning (Deep-RL) techniques for motion control have been qualitatively enhanced. Nowadays, modern Deep-RL can be successfully applied t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63c46725e81ba6b127f1e1af243a2b88
https://doi.org/10.1109/icra48506.2021.9561188

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Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning

Autor: Mario F. M. Campos, David Howard, Douglas G. Macharet, Paulo Vinicius Koerich Borges, Armando Alves Neto, Felipe G. Oliveira

Publikováno v: Journal of Intelligent & Robotic Systems. 101

This work addresses the problem of mapping terrain features based on inertial and LiDAR measurements to estimate navigation cost, for an autonomous ground robot. The navigation cost quantifies the degree of how easy or difficult it is to navigate thr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e56a2fd86951b0c5d7af5b50c2be97ca
https://doi.org/10.1007/s10846-020-01304-y

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A Semi-Lagrangian Approach for the Minimal Exposure Path Problem in Wireless Sensor Networks

Autor: Armando Alves Neto, Víctor C. da Silva Campos, Douglas G. Macharet

A critical metric of the coverage quality in Wireless Sensor Networks (WSNs) is the Minimal Exposure Path (MEP), a path through the environment that least exposes an intruder to the sensor detecting nodes. Many approaches have been proposed in the la

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521c4506299e90496b9dbbf9bc377e67

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