Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Paulo A. F. Rezeck"'
Autor:
Douglas G. Macharet, Héctor I. A. Perez-Imaz, Paulo A. F. Rezeck, Guilherme A. Potje, Luiz C. C. Benyosef, André Wiermann, Gustavo M. Freitas, Luis G. U. Garcia, Mario F. M. Campos
Publikováno v:
Sensors, Vol 16, Iss 12, p 2169 (2016)
Recent advances in the research of autonomous vehicles have showed a vast range of applications, such as exploration, surveillance and environmental monitoring. Considering the mining industry, it is possible to use such vehicles in the prospection o
Externí odkaz:
https://doaj.org/article/2bed63f83d024c019ebb1db7e6fa5365
Autor:
Paulo A. F. Rezeck, Victor R. F. Miranda, Gustavo Freitas, Douglas G. Macharet, Adriano M. C. Rezende, Elerson R. S. Santos, Hector Azpurua, Vinicius Mariano Gonçalves
Publikováno v:
Intelligent Service Robotics. 14:641-661
The use of drones is becoming more present in modern daily life. One of the most challenging tasks associated with these vehicles is the development of perception and autonomous navigation systems. Competitions such as Artificial Intelligence Robotic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0827c0b8ce25af74d24a17f6d4f43998
https://doi.org/10.1007/s11370-021-00385-4
https://doi.org/10.1007/s11370-021-00385-4
Autor:
Douglas G. Macharet, Vinicius Graciano Santos, Luiz Chaimowicz, Reza Javanmard Alitappeh, Luciano C. A. Pimenta, Paulo A. F. Rezeck, Anderson Grandi Pires
Publikováno v:
Swarm Intelligence. 14:259-284
Segregative behaviors, in which individuals with common characteristics are placed together and set apart from other groups, are commonly found in nature. In swarm robotics, these behaviors can be important in different tasks that require a heterogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2955898bfac1415593232d9ea2ae810
https://doi.org/10.1007/s11721-020-00184-0
https://doi.org/10.1007/s11721-020-00184-0
Autor:
Douglas G. Macharet, Paulo A. F. Rezeck, Marcos A. M. Vieira, Maurício Ferrari Santos Corrêa, Hector Azpurua, Elerson R. S. Santos, Gustavo Freitas
Publikováno v:
Journal of Intelligent & Robotic Systems. 99:571-587
In this work, we study the localization problem considering two Wireless Sensor Network (WSN) metrics commonly used for distance estimation. In this sense, we use Bayesian filters to combine odometry and distance estimations provided by the WSN devic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81b53c11d0171f3401cb246c4476cb03
https://doi.org/10.1007/s10846-019-01126-7
https://doi.org/10.1007/s10846-019-01126-7
Autor:
Douglas G. Macharet, Gustavo Freitas, Luis Guilherme Uzeda Garcia, Hector Azpurua, Guilherme Potje, Erickson R. Nascimento, Mario F. M. Campos, Paulo A. F. Rezeck
Publikováno v:
Journal of Field Robotics. 36:1378-1398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::819f2cd39c6a30b3d3535a75bf54f6c7
https://doi.org/10.1002/rob.21909
https://doi.org/10.1002/rob.21909
Publikováno v:
ICRA
This paper presents a novel approach that allows a swarm of heterogeneous robots to produce simultaneously segregative and flocking behaviors using only local sensing. These behaviors have been widely studied in swarm robotics and their combination a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ce3e825831dd5c59e4a996db609576
https://doi.org/10.1109/icra48506.2021.9561412
https://doi.org/10.1109/icra48506.2021.9561412
Autor:
Paulo A. F. Rezeck, Rodrigo Chaves, Luiz Chaimowicz, Douglas G. Macharet, Anderson Grandi Pires
Publikováno v:
Journal of Intelligent & Robotic Systems. 102
The Cooperative Localization (CL) problem considers the case where groups of robots aim to improve their overall localization by sharing position estimates within the team instead of using landmarks in the environment. Despite being a well-studied pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2661cc8525cb34768e5e664cfd0cff83
https://doi.org/10.1007/s10846-021-01397-z
https://doi.org/10.1007/s10846-021-01397-z
Autor:
Douglas G. Macharet, Gustavo Freitas, Erickson R. Nascimento, Paulo A. F. Rezeck, Gustavo Pessin, Luiz Chaimowicz, Luan Pinto, Lucas Pedroso Carvalho, Mario F. M. Campos, Matheus V. de Lima
Publikováno v:
CASE
This paper reports the results of the investigation on the use of force feedback to assist a human operator in the teleoperation of open-pit mining excavators. The proposed force feedback strategy allows object interactions. Also, it enables the oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d837d0be3213da4caebe8e2dcef63944
https://doi.org/10.1109/case48305.2020.9217029
https://doi.org/10.1109/case48305.2020.9217029
Publikováno v:
ICAR
In recent years, robotic swarms have been studied as an alternative to replace complex and expensive robots in the execution of different types of tasks. In this paper, we propose an approach to cooperatively build occupancy grid maps using large gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5b503d4531d0e0f09cf308361a8b8b
https://doi.org/10.1109/icar46387.2019.8981640
https://doi.org/10.1109/icar46387.2019.8981640
Autor:
Mario F. M. Campos, Gustavo Pessin, Matheus V. de Lima, Paulo A. F. Rezeck, Gustavo Freitas, Luiz Chaimowics, Felipe Cadar, Thiago Grabe, Luan Pinto, Andre Cid, Douglas G. Macharet
Publikováno v:
Anais do 14º Simpósio Brasileiro de Automação Inteligente.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a42d723080cf96220cbeba9f733ef7
https://doi.org/10.17648/sbai-2019-111291
https://doi.org/10.17648/sbai-2019-111291