Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Armando Alves Neto"'
Autor:
Armando Alves Neto
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
This work addresses the problem of decentralized navigation and control of teams of cooperative robots in cluttered environments. We propose here a methodology for the coordination of heterogeneous agents subject to disturbances and uncertainties, ty
Externí odkaz:
http://hdl.handle.net/1843/ESBF-8ZEN86
Autor:
Armando Alves Neto
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
In this work a study on the problem of the trajectory generation for unmanned aerial vehicles is carried through. The main objective is to provide tools of path planning for aerial robots, taking into account some of its main physical constraints of
Externí odkaz:
http://hdl.handle.net/1843/RVMR-7LKGQL
Autor:
Daniel Almeida Godinho, Armando Alves Neto, Leonardo Amaral Mozelli, Fernando de Oliveira Souza
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:6627-6638
Publikováno v:
IEEE Robotics and Automation Letters. 8:664-671
Autor:
Daniel Almeida Godinho, Armando Alves Neto, Leonardo Amaral Mozelli, Fernando de Oliveira Souza
Publikováno v:
International Journal of Control, Automation and Systems. 20:2437-2446
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
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
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
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