A Temporal Optimization Applied to Time Enhanced A*

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

Authors

Pedro Moura (Author) Other; Pedro Gomes da Costa (Author) FEUP; José Lima (Author) Other; Paulo Gomes da Costa (Author) FEUP

Conference proceedings International

Title: AIP Conference Proceedings

Pages: 220007-1-220007-4

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-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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4