Coverage Path Planning Optimization Based on Q-Learning Algorithm

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

Autores

Luis Piardi (Autor) Outra; José Lima (Autor) Outra; Ana I. Pereira (Autor) Outra; Paulo Gomes da Costa (Autor) FEUP

Ata de Conferência Internacional

Título: AIP Conference Proceedings

Páginas: 1-4

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-XJA

DOI: 10.1063/1.5114220

Abstract (EN): Mobile robot applications are increasing its usability in industries and services (examples: vacuum cleaning, painting and farming robots, among others). Some of the applications require that the robot moves in an environment between two positions while others require that the robot scans all the positions (Coverage Path Planning). Optimizing the traveled distance or the time to scan the path, should be done in order to reduce the costs. This paper addresses an optimization approach of the coverage path planning using Q-Learning algorithm. Comparison with other methods allows to validate the methodology.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4