A Temporal Optimization Applied to Time Enhanced A*

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Pedro Moura (Autor) Outra; Pedro Gomes da Costa (Autor) FEUP; José Lima (Autor) Outra; Paulo Gomes da Costa (Autor) FEUP

Ata de Conferência Internacional

Título: AIP Conference Proceedings

Páginas: 220007-1-220007-4

International Conference on Numerical Analysis and Applied Mathematics 2018, ICNAAM 2018

13 September 2018 through 18 September 2018

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00Q-XJH

DOI: 10.1063/1.5114225

Abstract (EN): The coordination problem in multi-AGV systems can be approached as an optimization problem and aims to make possible the execution of several tasks simultaneously, avoiding collision and deadlock situations and reducing the average execution time. Time Enhanced A* (TEA*) is one of the path planning algorithms developed for this purpose. This paper focus on the implementation of the TEA* for real industrial applications. In that context, a new approach was developed to complement the TEA* with the capacity to approximate the planning of the future positions for differential robots with its real behaviour.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4