Coverage Path Planning Optimization Based on Q-Learning Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

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

Conference proceedings International

Title: AIP Conference Proceedings

Pages: 1-4

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

13 September 2018 through 18 September 2018

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4