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pro vyhledávání: '"Gabriel Previato"'
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With the evolution of humanoid robotics and its increasing use in diverse environments and tasks, it is imperative that the robot can interact with the environment and, therefore, understand it accurately to execute decision making. In this work, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d27d5c588a55f008596509ed65eb5ff2
https://doi.org/10.20396/revpibic2720192900
https://doi.org/10.20396/revpibic2720192900
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
With the evolution of humanoid robotics and its increasing use in diverse environments and tasks, robots have to interact with the environment and, therefore, understand it accurately to execute decision making. In this work, we present the process o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79645a837e04b4fff877b81c55fe58ea
https://doi.org/10.1109/lars-sbr-wre48964.2019.00014
https://doi.org/10.1109/lars-sbr-wre48964.2019.00014
Publikováno v:
Revista dos Trabalhos de Iniciação Científica da UNICAMP.
Este trabalho tem por objetivo estimar a posição de um robô humanóide em um campo de futebol nos padrões da Robocup, utilizando um extrator de características para obter a distância do robô aos objetos e às linhas no campo e usar essas dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c526f57ccb04322fcebd26740a4f9278
https://doi.org/10.20396/revpibic262018492
https://doi.org/10.20396/revpibic262018492
Autor:
Thales Oliveira, Wallace Pereira, Guilherme Leite, Guilherme Abreu, Rafael Prudencio, Esther Luna Colombini, Guilherme Correa, Gabriel Previato, Samuel Chenatti, Guilherme Cano, Victor Soerensen Braga
Publikováno v:
2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE).
Reinforcement Learning is a conventional ap-proach in the robotics field for solving control problems asan alternative to classic control algorithms. By learning tosolve logistics tasks through simulated experience (explorationand exploitation paradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a29ad850df56976e716fa58fe792c5
https://doi.org/10.1109/lars/sbr/wre.2018.00066
https://doi.org/10.1109/lars/sbr/wre.2018.00066