Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Douglas G. Macharet"'
Publikováno v:
Frontiers in Control Engineering, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/7181a3310027430e8ec8abd0b0d1df64
Publikováno v:
Frontiers in Control Engineering, Vol 4 (2023)
Interesting and effective team behaviors arise when a group of agents contend with adversaries. Examples range from animal group behaviors observed in nature to strategies used in team sports. This mini review goes over literature in multiagent syste
Externí odkaz:
https://doaj.org/article/4e1eb80a0a5c40b88213d8cc248beb03
Publikováno v:
IEEE Robotics and Automation Letters. 8:664-671
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE).
Autor:
Alysson Ribeiro da Silva, Paulo Alfredo Frota Rezeck, Gabriel Santos Luz, Tiago Rezende Alves, Douglas G. Macharet, Luiz Chaimowicz
Publikováno v:
2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE).
Autor:
Aline F. F. Silva, Douglas G. Macharet
Publikováno v:
2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE).
Publikováno v:
Anais Estendidos do XIV Simpósio Brasileiro de Robótica e XIX Simpósio Latino-Americano de Robótica (SBR/LARS Estendido 2022).
This work addresses the problem of exploring confined environments autonomously using terrestrial mobile robots. We propose a methodology for path planning in rough three-dimensional terrains and an exploration strategy that uses the map’s navigabl
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
Autor:
Daniel Balbino de Mesquita, Erickson R. Nascimento, Douglas G. Macharet, Ronaldo F. dos Santos, Mario F. M. Campos
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:1455-1459
Different applications in remote sensing, such as crop monitoring and visual surveillance, demand the automatic detection of changes from sets of images acquired over time. Most traditional approaches use satellite imagery, which, besides the known i