Smart Fleet Solutions: Simulating Electric AGV Performance in Industrial Settings

Autor:	Martone, Tommaso, Iob, Pietro, Schiavo, Mauro, Cenedese, Angelo
Rok vydání:	2024
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	This paper explores the potential benefits and challenges of integrating Electric Vehicles (EVs) and Autonomous Ground Vehicles (AGVs) in industrial settings to improve sustainability and operational efficiency. While EVs offer environmental advantages, barriers like high costs and limited range hinder their widespread use. Similarly, AGVs, despite their autonomous capabilities, face challenges in technology integration and reliability. To address these issues, the paper develops a fleet management tool tailored for coordinating electric AGVs in industrial environments. The study focuses on simulating electric AGV performance in a primary aluminum plant to provide insights into their effectiveness and offer recommendations for optimizing fleet performance. Comment: accepted for presentation as WiP at the 2024 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2024)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.12498 Zobrazit plný text záznamu View this record from Arxiv