Multi AGV Industrial Supervisory System

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Cruz A. (Author) Other; Matos D. (Author) Other; Lima J. (Author) Other; Paulo Gomes da Costa (Author) FEUP; Pedro Luís Cerqueira Gomes da Costa (Author) FEUP

Conference proceedings International

Title: Communications in Computer and Information Science

Pages: 203-218

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-00W-2Z1

DOI: 10.1007/978-3-030-91885-9_15

Abstract (EN): Automated guided vehicles (AGV) represent a key element in industries¿ intralogistics and the use of AGV fleets bring multiple advantages. Nevertheless, coordinating a fleet of AGV is already a complex task but when exposed to delays in the trajectory and communication faults it can represent a threat, compromising the safety, productivity and efficiency of these systems. Concerning this matter, trajectory planning algorithms allied with supervisory systems have been studied and developed. This article aims to, based on work developed previously, implement and test a Multi AGV Supervisory System on real robots and analyse how the system responds to the dynamic of a real environment, analysing its intervention, what influences it and how the execution time is affected.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15