Výsledky vyhledávání - "Galvão, Yves M."

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Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning

Autor: Ferreira, Janderson, Júnior, Agostinho A. F., Castro, Letícia, Galvão, Yves M., Barros, Pablo, Fernandes, Bruno J. T.

Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms. This is the case when exploring Incremental learning models, in particul

Externí odkaz: http://arxiv.org/abs/2008.07965

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Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

Autor: Ferreira, Janderson, Júnior, Agostinho A. F., Galvão, Yves M., Barros, Pablo, Fernandes, Sergio Murilo Maciel, Fernandes, Bruno J. T.

Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path planning presents some issues in large and dynamic environments. Large

Externí odkaz: http://arxiv.org/abs/2008.02254

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CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning

Autor: Ferreira, Janderson, Júnior, Agostinho A. F., Galvão, Yves M., Fernandes, Bruno J. T., Barros, Pablo

Many real-world applications need path planning algorithms to solve tasks in different areas, such as social applications, autonomous cars, and tracking activities. And most importantly motion planning. Although the use of path planning is sufficient

Externí odkaz: http://arxiv.org/abs/2004.05077

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