Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

A dynamic routing strategy for the traffic control of AGVs in automatic warehouses

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Citazione:
A dynamic routing strategy for the traffic control of AGVs in automatic warehouses / Secchi, Cristian; Olmi, Roberto; Rocchi, Fabio; Fantuzzi, Cesare. - 2015:June(2015), pp. 3292-3297. ( 2015 IEEE International Conference on Robotics and Automation, ICRA 2015 Seattle; United States 26-30 May 2015) [10.1109/ICRA.2015.7139653].
Abstract:
In this paper we propose a novel algorithm for the dynamic routing of a group of Autonomous Guided Vehicles (AGVs) used for transporting goods in automatic warehouses. Our strategy allows to improve the efficiency of a fleet of AGVs in terms of delivery time and its computational burden is sufficiently small to be embedded in standard industrial traffic management system. The algorithm is validated in a small-scale automatic warehouse with real AGVs.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Software; Artificial Intelligence; Control and Systems Engineering; Electrical and Electronic Engineering
Elenco autori:
Secchi, Cristian; Olmi, Roberto; Rocchi, Fabio; Fantuzzi, Cesare
Autori di Ateneo:
FANTUZZI Cesare
SECCHI Cristian
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1113320
Titolo del libro:
2015 IEEE International Conference on Robotics and Automation (ICRA 2015): Proceedings of a meeting held 26-30 May 2015, Seattle, Washington, US
Pubblicato in:
PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION
Journal
PROCEEDINGS - IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION
Series
  • Dati Generali

Dati Generali

URL

http://ieeexplore.ieee.org/document/7139653/
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0